diff --git a/404.html b/404.html index 6c7eaaf56..bf930ec8f 100644 --- a/404.html +++ b/404.html @@ -5,8 +5,8 @@ Page Not Found | CyclOps - - + +
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diff --git a/api/examples/heart_failure_report_periodic.html b/api/examples/heart_failure_report_periodic.html index 994a5a32b..35eb0fc8f 100644 --- a/api/examples/heart_failure_report_periodic.html +++ b/api/examples/heart_failure_report_periodic.html @@ -1064,29 +1064,23 @@

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-/mnt/data/actions_runners/cyclops-actions-runner-1/_work/cyclops/cyclops/cyclops/evaluate/metrics/experimental/functional/roc.py:74: UserWarning:
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Preparing Result
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We can visualize the BinaryF1Score and BinaryPrecision for the different slices

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Preparing Result

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 invalid value encountered in divide
 
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Fairness Evaluator
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Fairness Evaluator
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diff --git a/api/examples/metrics.ipynb b/api/examples/metrics.ipynb
index a76244abd..2b1a61936 100644
--- a/api/examples/metrics.ipynb
+++ b/api/examples/metrics.ipynb
@@ -14,10 +14,10 @@
    "execution_count": 1,
    "metadata": {
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-     "iopub.status.idle": "2024-06-20T20:37:03.706470Z",
-     "shell.execute_reply": "2024-06-20T20:37:03.704431Z"
+     "iopub.execute_input": "2024-06-21T16:29:08.046011Z",
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@@ -43,10 +43,10 @@
    "execution_count": 2,
    "metadata": {
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-     "shell.execute_reply": "2024-06-20T20:37:03.765178Z"
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@@ -69,10 +69,10 @@
    "execution_count": 3,
    "metadata": {
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     }
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@@ -536,10 +536,10 @@
    "execution_count": 4,
    "metadata": {
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@@ -582,10 +582,10 @@
    "execution_count": 5,
    "metadata": {
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+     "shell.execute_reply": "2024-06-21T16:29:20.762330Z"
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@@ -618,10 +618,10 @@
    "execution_count": 6,
    "metadata": {
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-     "shell.execute_reply": "2024-06-20T20:37:04.750361Z"
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@@ -667,10 +667,10 @@
    "execution_count": 7,
    "metadata": {
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-     "shell.execute_reply": "2024-06-20T20:37:04.805035Z"
+     "iopub.execute_input": "2024-06-21T16:29:20.816944Z",
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@@ -711,10 +711,10 @@
    "execution_count": 8,
    "metadata": {
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@@ -767,10 +767,10 @@
    "execution_count": 9,
    "metadata": {
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-     "shell.execute_reply": "2024-06-20T20:37:04.847935Z"
+     "iopub.execute_input": "2024-06-21T16:29:20.899000Z",
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@@ -805,10 +805,10 @@
    "execution_count": 10,
    "metadata": {
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-     "iopub.execute_input": "2024-06-20T20:37:04.856254Z",
-     "iopub.status.busy": "2024-06-20T20:37:04.855291Z",
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-     "shell.execute_reply": "2024-06-20T20:37:04.868888Z"
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@@ -824,17 +824,17 @@
    "execution_count": 11,
    "metadata": {
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-     "iopub.execute_input": "2024-06-20T20:37:04.876857Z",
-     "iopub.status.busy": "2024-06-20T20:37:04.876263Z",
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+     "iopub.execute_input": "2024-06-21T16:29:20.937169Z",
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+     "shell.execute_reply": "2024-06-21T16:29:21.407170Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9ba478cba74a4acbb39808ef7211f981",
+       "model_id": "32521166636f477788e2727e999aed1e",
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@@ -848,7 +848,7 @@
     {
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@@ -862,7 +862,7 @@
     {
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       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0f2ab25c62d7474fb3cd8279c0e3a33b",
+       "model_id": "4c798b32698d4e57ba051809f88f4d72",
        "version_major": 2,
        "version_minor": 0
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@@ -876,7 +876,7 @@
     {
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       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a9fecf93d1a645e7a43dfeaeac0747b1",
+       "model_id": "b1caced0e94c4380a2e6e4857153b5da",
        "version_major": 2,
        "version_minor": 0
       },
@@ -891,7 +891,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/mnt/data/actions_runners/cyclops-actions-runner-1/_work/cyclops/cyclops/cyclops/evaluate/metrics/experimental/functional/roc.py:74: UserWarning:\n",
+      "/mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/cyclops/evaluate/metrics/experimental/functional/roc.py:74: UserWarning:\n",
       "\n",
       "No negative samples in targets false positive value should be meaningless. Returning an array of 0s instead.\n",
       "\n"
@@ -900,7 +900,7 @@
     {
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-       "model_id": "9c79c2addb8c450cab32ace07dd0acf9",
+       "model_id": "0b8f5c3ff38f476c91f8a6c8c1250d4b",
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@@ -914,7 +914,7 @@
     {
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-       "model_id": "9c0a148747b048dcba3039c5930d8f25",
+       "model_id": "07bc0d5239694c09a0be1cfc9008018c",
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@@ -950,10 +950,10 @@
    "execution_count": 12,
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-     "iopub.status.busy": "2024-06-20T20:37:05.350494Z",
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-     "shell.execute_reply": "2024-06-20T20:37:06.663955Z"
+     "iopub.execute_input": "2024-06-21T16:29:21.416535Z",
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+     "shell.execute_reply": "2024-06-21T16:29:22.321961Z"
     }
    },
    "outputs": [
@@ -1013,8 +1013,8 @@
           "BinaryF1Score"
          ],
          "y": [
-          0.5,
-          0.5714285969734192
+          0.6666666865348816,
+          0.6666666865348816
          ]
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@@ -1025,8 +1025,8 @@
           "BinaryF1Score"
          ],
          "y": [
-          0.8333333134651184,
-          0.800000011920929
+          0.9090909361839294,
+          0.8333333134651184
          ]
         },
         {
@@ -1049,8 +1049,8 @@
           "BinaryF1Score"
          ],
          "y": [
-          0.3333333432674408,
-          0.4000000059604645
+          0.5,
+          0.5
          ]
         },
         {
@@ -1061,8 +1061,8 @@
           "BinaryF1Score"
          ],
          "y": [
-          0.931034505367279,
-          0.7941176295280457
+          0.9642857313156128,
+          0.8059701323509216
          ]
         }
        ],
@@ -1900,9 +1900,9 @@
        }
       },
       "text/html": [
-       "
                            
            

+
-
+
-
+
[27]:
@@ -1981,9 +1981,9 @@ 
Logging metrics and results to report
-
diff --git a/api/examples/report.ipynb b/api/examples/report.ipynb index bf2ef385c..e0277f739 100644 --- a/api/examples/report.ipynb +++ b/api/examples/report.ipynb @@ -5,10 +5,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:23.407585Z", - "iopub.status.busy": "2024-06-20T20:37:23.406180Z", - "iopub.status.idle": "2024-06-20T20:37:35.688222Z", - "shell.execute_reply": "2024-06-20T20:37:35.685940Z" + "iopub.execute_input": "2024-06-21T16:29:37.987392Z", + "iopub.status.busy": "2024-06-21T16:29:37.986457Z", + "iopub.status.idle": "2024-06-21T16:29:50.185880Z", + "shell.execute_reply": "2024-06-21T16:29:50.183700Z" } }, "outputs": [], @@ -58,10 +58,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:35.697264Z", - "iopub.status.busy": "2024-06-20T20:37:35.695597Z", - "iopub.status.idle": "2024-06-20T20:37:35.704485Z", - "shell.execute_reply": "2024-06-20T20:37:35.702873Z" + "iopub.execute_input": "2024-06-21T16:29:50.194985Z", + "iopub.status.busy": "2024-06-21T16:29:50.193311Z", + "iopub.status.idle": "2024-06-21T16:29:50.202037Z", + "shell.execute_reply": "2024-06-21T16:29:50.200433Z" } }, "outputs": [], @@ -74,10 +74,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:35.711379Z", - "iopub.status.busy": "2024-06-20T20:37:35.710040Z", - "iopub.status.idle": "2024-06-20T20:37:35.717281Z", - "shell.execute_reply": "2024-06-20T20:37:35.715698Z" + "iopub.execute_input": "2024-06-21T16:29:50.208688Z", + "iopub.status.busy": "2024-06-21T16:29:50.207719Z", + "iopub.status.idle": "2024-06-21T16:29:50.214875Z", + "shell.execute_reply": "2024-06-21T16:29:50.213271Z" } }, "outputs": [], @@ -100,10 +100,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:35.723935Z", - "iopub.status.busy": "2024-06-20T20:37:35.722987Z", - "iopub.status.idle": "2024-06-20T20:37:36.546689Z", - "shell.execute_reply": "2024-06-20T20:37:36.545008Z" + "iopub.execute_input": "2024-06-21T16:29:50.221488Z", + "iopub.status.busy": "2024-06-21T16:29:50.220527Z", + "iopub.status.idle": "2024-06-21T16:29:50.992818Z", + "shell.execute_reply": "2024-06-21T16:29:50.990926Z" } }, "outputs": [], @@ -122,10 +122,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:36.554027Z", - "iopub.status.busy": "2024-06-20T20:37:36.553026Z", - "iopub.status.idle": "2024-06-20T20:37:36.622001Z", - "shell.execute_reply": "2024-06-20T20:37:36.620418Z" + "iopub.execute_input": "2024-06-21T16:29:51.000194Z", + "iopub.status.busy": "2024-06-21T16:29:50.999303Z", + "iopub.status.idle": "2024-06-21T16:29:51.070619Z", + "shell.execute_reply": "2024-06-21T16:29:51.068835Z" } }, "outputs": [ @@ -275,10 +275,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:36.628711Z", - "iopub.status.busy": "2024-06-20T20:37:36.627729Z", - "iopub.status.idle": "2024-06-20T20:37:36.694464Z", - "shell.execute_reply": "2024-06-20T20:37:36.692893Z" + "iopub.execute_input": "2024-06-21T16:29:51.077605Z", + "iopub.status.busy": "2024-06-21T16:29:51.076576Z", + "iopub.status.idle": "2024-06-21T16:29:51.144986Z", + "shell.execute_reply": "2024-06-21T16:29:51.143208Z" } }, "outputs": [ @@ -420,10 +420,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:37:36.701171Z", - "iopub.status.busy": "2024-06-20T20:37:36.700206Z", - "iopub.status.idle": "2024-06-20T20:37:37.413094Z", - "shell.execute_reply": "2024-06-20T20:37:37.411453Z" + "iopub.execute_input": "2024-06-21T16:29:51.152354Z", + "iopub.status.busy": "2024-06-21T16:29:51.150918Z", + "iopub.status.idle": "2024-06-21T16:29:51.858872Z", + "shell.execute_reply": "2024-06-21T16:29:51.857041Z" } }, "outputs": [ @@ -2230,9 +2230,9 @@ } }, "text/html": [ - "
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@@ -1276,7 +1269,7 @@

Training 

-2024-06-20 16:39:31,976 INFO cyclops.models.wrappers.sk_model - Best scale_pos_weight: 9
+2024-06-21 12:37:10,437 INFO cyclops.models.wrappers.sk_model - Best scale_pos_weight: 9
@@ -1284,7 +1277,7 @@

Training 

-2024-06-20 16:39:31,978 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-21 12:37:10,439 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
@@ -1292,7 +1285,7 @@

Training 

-2024-06-20 16:39:31,980 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 250
+2024-06-21 12:37:10,440 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
@@ -1300,7 +1293,7 @@

Training 

-2024-06-20 16:39:31,981 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
+2024-06-21 12:37:10,442 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
@@ -1308,7 +1301,7 @@

Training 

-2024-06-20 16:39:31,982 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-21 12:37:10,443 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
@@ -1316,7 +1309,7 @@

Training 

-2024-06-20 16:39:31,983 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
+2024-06-21 12:37:10,444 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
@@ -1324,7 +1317,7 @@

Training 

-2024-06-20 16:39:31,985 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.8
+2024-06-21 12:37:10,445 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.8
@@ -1745,7 +1738,7 @@

Training learning_rate=0.1, max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None, max_delta_step=None, max_depth=5, max_leaves=None, min_child_weight=3, missing=nan, - monotone_constraints=None, n_estimators=250, n_jobs=None, + monotone_constraints=None, n_estimators=500, n_jobs=None, num_parallel_tree=None, predictor=None, random_state=123, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

@@ -1772,7 +1765,7 @@

Training 

-{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.8, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 2, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 250, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': 9, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}
+{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.8, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 2, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 500, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': 9, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}

Log the model parameters to the report.

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Prediction
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Evaluation
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Evaluation
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Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -2191,9 +2184,9 @@

Evaluation
-

diff --git a/api/tutorials/diabetes_130/readmission_prediction.ipynb b/api/tutorials/diabetes_130/readmission_prediction.ipynb index c08698608..865f43a32 100644 --- a/api/tutorials/diabetes_130/readmission_prediction.ipynb +++ b/api/tutorials/diabetes_130/readmission_prediction.ipynb @@ -23,10 +23,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:38:19.190679Z", - "iopub.status.busy": "2024-06-20T20:38:19.189721Z", - "iopub.status.idle": "2024-06-20T20:38:43.692145Z", - "shell.execute_reply": "2024-06-20T20:38:43.690180Z" + "iopub.execute_input": "2024-06-21T16:30:34.435159Z", + "iopub.status.busy": "2024-06-21T16:30:34.433950Z", + "iopub.status.idle": "2024-06-21T16:30:59.330891Z", + "shell.execute_reply": "2024-06-21T16:30:59.328570Z" }, "tags": [] }, @@ -35,200 +35,194 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: pycyclops in /mnt/data/actions_runners/cyclops-actions-runner-1/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (0.2.9)\r\n" + "Requirement already satisfied: pycyclops in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (0.2.9)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - 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"iopub.execute_input": "2024-06-20T20:38:43.700748Z", - "iopub.status.busy": "2024-06-20T20:38:43.699343Z", - "iopub.status.idle": "2024-06-20T20:38:56.392817Z", - "shell.execute_reply": "2024-06-20T20:38:56.390974Z" + "iopub.execute_input": "2024-06-21T16:30:59.340292Z", + "iopub.status.busy": "2024-06-21T16:30:59.338672Z", + "iopub.status.idle": "2024-06-21T16:31:13.036448Z", + "shell.execute_reply": "2024-06-21T16:31:13.034534Z" }, "tags": [] }, @@ -318,10 +312,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:38:56.401052Z", - "iopub.status.busy": "2024-06-20T20:38:56.399567Z", - "iopub.status.idle": "2024-06-20T20:38:56.407455Z", - "shell.execute_reply": "2024-06-20T20:38:56.405893Z" + "iopub.execute_input": "2024-06-21T16:31:13.045864Z", + "iopub.status.busy": "2024-06-21T16:31:13.043890Z", + "iopub.status.idle": "2024-06-21T16:31:13.052265Z", + "shell.execute_reply": "2024-06-21T16:31:13.050706Z" } }, "outputs": [], @@ -341,10 +335,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:38:56.414133Z", - "iopub.status.busy": "2024-06-20T20:38:56.413179Z", - "iopub.status.idle": "2024-06-20T20:38:56.420419Z", - "shell.execute_reply": "2024-06-20T20:38:56.418917Z" + "iopub.execute_input": "2024-06-21T16:31:13.059780Z", + "iopub.status.busy": "2024-06-21T16:31:13.058249Z", + "iopub.status.idle": "2024-06-21T16:31:13.065964Z", + "shell.execute_reply": "2024-06-21T16:31:13.064440Z" }, "tags": [] }, @@ -368,10 +362,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:38:56.427002Z", - "iopub.status.busy": "2024-06-20T20:38:56.426035Z", - "iopub.status.idle": "2024-06-20T20:39:01.061097Z", - "shell.execute_reply": "2024-06-20T20:39:01.059447Z" + "iopub.execute_input": "2024-06-21T16:31:13.073046Z", + "iopub.status.busy": "2024-06-21T16:31:13.071905Z", + "iopub.status.idle": "2024-06-21T16:31:17.959645Z", + "shell.execute_reply": "2024-06-21T16:31:17.957919Z" }, "tags": [] }, @@ -389,10 +383,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:39:01.068562Z", - "iopub.status.busy": "2024-06-20T20:39:01.067538Z", - "iopub.status.idle": "2024-06-20T20:39:01.089859Z", - "shell.execute_reply": "2024-06-20T20:39:01.088307Z" + "iopub.execute_input": "2024-06-21T16:31:17.968007Z", + "iopub.status.busy": "2024-06-21T16:31:17.966443Z", + "iopub.status.idle": "2024-06-21T16:31:17.989415Z", + "shell.execute_reply": "2024-06-21T16:31:17.987843Z" }, "tags": [] }, @@ -451,10 +445,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:39:01.096639Z", - "iopub.status.busy": "2024-06-20T20:39:01.095689Z", - "iopub.status.idle": "2024-06-20T20:39:01.305010Z", - "shell.execute_reply": "2024-06-20T20:39:01.303341Z" + "iopub.execute_input": "2024-06-21T16:31:17.996496Z", + "iopub.status.busy": "2024-06-21T16:31:17.995344Z", + "iopub.status.idle": "2024-06-21T16:31:18.204379Z", + "shell.execute_reply": "2024-06-21T16:31:18.202704Z" }, "tags": [] }, @@ -499,10 +493,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:39:01.312766Z", - "iopub.status.busy": "2024-06-20T20:39:01.311425Z", - "iopub.status.idle": "2024-06-20T20:39:01.321289Z", - "shell.execute_reply": "2024-06-20T20:39:01.319739Z" + "iopub.execute_input": "2024-06-21T16:31:18.212833Z", + "iopub.status.busy": "2024-06-21T16:31:18.211286Z", + "iopub.status.idle": "2024-06-21T16:31:18.221328Z", + "shell.execute_reply": "2024-06-21T16:31:18.219797Z" } }, "outputs": [], @@ -522,10 +516,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:39:01.328010Z", - "iopub.status.busy": "2024-06-20T20:39:01.327039Z", - "iopub.status.idle": "2024-06-20T20:39:01.392438Z", - "shell.execute_reply": "2024-06-20T20:39:01.390832Z" + "iopub.execute_input": "2024-06-21T16:31:18.228308Z", + "iopub.status.busy": "2024-06-21T16:31:18.227209Z", + "iopub.status.idle": "2024-06-21T16:31:18.293349Z", + "shell.execute_reply": "2024-06-21T16:31:18.291673Z" }, "tags": [] }, @@ -550,10 +544,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:39:01.399292Z", - "iopub.status.busy": "2024-06-20T20:39:01.398302Z", - "iopub.status.idle": "2024-06-20T20:39:02.055071Z", - "shell.execute_reply": "2024-06-20T20:39:02.053451Z" + "iopub.execute_input": "2024-06-21T16:31:18.301133Z", + "iopub.status.busy": "2024-06-21T16:31:18.299987Z", + "iopub.status.idle": "2024-06-21T16:31:18.969181Z", + "shell.execute_reply": "2024-06-21T16:31:18.967531Z" }, "tags": [] }, @@ -2443,9 +2437,9 @@ } }, "text/html": [ - "
+
@@ -1026,7 +1026,7 @@

Training 
-2024-06-20 16:40:24,220 INFO cyclops.models.wrappers.sk_model - Best alpha: 0.001
+2024-06-21 12:38:04,978 INFO cyclops.models.wrappers.sk_model - Best alpha: 0.001
@@ -1034,7 +1034,7 @@

Training 

-2024-06-20 16:40:24,222 INFO cyclops.models.wrappers.sk_model - Best eta0: 0.01
+2024-06-21 12:38:04,980 INFO cyclops.models.wrappers.sk_model - Best eta0: 0.01
@@ -1042,7 +1042,7 @@

Training 

-2024-06-20 16:40:24,224 INFO cyclops.models.wrappers.sk_model - Best learning_rate: adaptive
+2024-06-21 12:38:04,982 INFO cyclops.models.wrappers.sk_model - Best learning_rate: adaptive
@@ -1516,7 +1516,7 @@

Prediction

-
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@@ -1635,67 +1635,67 @@

Evaluation
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[36]:
@@ -1726,37 +1726,37 @@ 
Evaluation
-
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+

Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -1873,9 +1873,9 @@

Evaluation
-

diff --git a/api/tutorials/kaggle/heart_failure_prediction.ipynb b/api/tutorials/kaggle/heart_failure_prediction.ipynb index 28999f3d5..fcd363080 100644 --- a/api/tutorials/kaggle/heart_failure_prediction.ipynb +++ b/api/tutorials/kaggle/heart_failure_prediction.ipynb @@ -21,10 +21,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:39:48.334576Z", - "iopub.status.busy": "2024-06-20T20:39:48.333562Z", - "iopub.status.idle": "2024-06-20T20:40:01.318677Z", - "shell.execute_reply": "2024-06-20T20:40:01.316573Z" + "iopub.execute_input": "2024-06-21T16:37:26.838439Z", + "iopub.status.busy": "2024-06-21T16:37:26.837425Z", + "iopub.status.idle": "2024-06-21T16:37:42.043922Z", + "shell.execute_reply": "2024-06-21T16:37:42.041903Z" }, "tags": [] }, @@ -90,10 +90,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:01.327820Z", - "iopub.status.busy": "2024-06-20T20:40:01.326212Z", - "iopub.status.idle": "2024-06-20T20:40:01.334568Z", - "shell.execute_reply": "2024-06-20T20:40:01.332879Z" + "iopub.execute_input": "2024-06-21T16:37:42.052221Z", + "iopub.status.busy": "2024-06-21T16:37:42.050817Z", + "iopub.status.idle": "2024-06-21T16:37:42.059411Z", + "shell.execute_reply": "2024-06-21T16:37:42.057820Z" } }, "outputs": [], @@ -113,10 +113,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:01.341392Z", - "iopub.status.busy": "2024-06-20T20:40:01.340444Z", - "iopub.status.idle": "2024-06-20T20:40:01.348136Z", - "shell.execute_reply": "2024-06-20T20:40:01.346381Z" + "iopub.execute_input": "2024-06-21T16:37:42.066367Z", + "iopub.status.busy": "2024-06-21T16:37:42.065271Z", + "iopub.status.idle": "2024-06-21T16:37:42.072938Z", + "shell.execute_reply": "2024-06-21T16:37:42.071365Z" }, "tags": [] }, @@ -142,10 +142,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:01.354704Z", - "iopub.status.busy": "2024-06-20T20:40:01.353853Z", - "iopub.status.idle": "2024-06-20T20:40:01.701614Z", - "shell.execute_reply": "2024-06-20T20:40:01.699798Z" + "iopub.execute_input": "2024-06-21T16:37:42.079835Z", + "iopub.status.busy": "2024-06-21T16:37:42.078785Z", + "iopub.status.idle": "2024-06-21T16:37:42.417574Z", + "shell.execute_reply": "2024-06-21T16:37:42.415748Z" }, "tags": [] }, @@ -165,10 +165,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:01.709322Z", - "iopub.status.busy": "2024-06-20T20:40:01.708455Z", - "iopub.status.idle": "2024-06-20T20:40:01.768368Z", - "shell.execute_reply": "2024-06-20T20:40:01.766470Z" + "iopub.execute_input": "2024-06-21T16:37:42.425509Z", + "iopub.status.busy": "2024-06-21T16:37:42.424119Z", + "iopub.status.idle": "2024-06-21T16:37:42.484992Z", + "shell.execute_reply": "2024-06-21T16:37:42.483163Z" }, "tags": [] }, @@ -177,7 +177,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 16:40:01,712 \u001b[1;37mINFO\u001b[0m cyclops.utils.file - Loading DataFrame from ./data/heart.csv\n" + "2024-06-21 12:37:42,429 \u001b[1;37mINFO\u001b[0m cyclops.utils.file - Loading DataFrame from ./data/heart.csv\n" ] }, { @@ -233,10 +233,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:01.775505Z", - "iopub.status.busy": "2024-06-20T20:40:01.774480Z", - "iopub.status.idle": "2024-06-20T20:40:02.460903Z", - "shell.execute_reply": "2024-06-20T20:40:02.459124Z" + "iopub.execute_input": "2024-06-21T16:37:42.492805Z", + "iopub.status.busy": "2024-06-21T16:37:42.491332Z", + "iopub.status.idle": "2024-06-21T16:37:43.194219Z", + "shell.execute_reply": "2024-06-21T16:37:43.192392Z" }, "tags": [] }, @@ -2044,9 +2044,9 @@ } }, "text/html": [ - "
+
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Graphics

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Graphics

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Graphics

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Version

- Date: 2024-06-20 + Date: 2024-06-21
@@ -2105,8 +2105,8 @@

Model Parameters

-

Verbose

- 0 +

Average

+ False
@@ -2114,31 +2114,31 @@

Verbose

-

Early_stopping

- True +

N_iter_no_change

+ 5
-
-

Fit_intercept

- True -
+
+

Power_t

+ 0.5 +
-

L1_ratio

- 0.15 +

Eta0

+ 0.01
@@ -2146,8 +2146,8 @@

L1_ratio

-

Power_t

- 0.5 +

Warm_start

+ False
@@ -2155,8 +2155,8 @@

Power_t

-

Average

- False +

Shuffle

+ True
@@ -2164,8 +2164,8 @@

Average

-

N_iter_no_change

- 5 +

Learning_rate

+ adaptive
@@ -2173,8 +2173,8 @@

N_iter_no_change

-

Loss

- log_loss +

Tol

+ 0.001
@@ -2182,8 +2182,8 @@

Loss

-

Epsilon

- 0.1 +

Verbose

+ 0
@@ -2191,8 +2191,8 @@

Epsilon

-

Penalty

- l2 +

Class_weight

+ balanced
@@ -2200,8 +2200,8 @@

Penalty

-

Max_iter

- 1000 +

Validation_fraction

+ 0.1
@@ -2209,8 +2209,8 @@

Max_iter

-

Tol

- 0.001 +

Max_iter

+ 1000
@@ -2218,8 +2218,8 @@

Tol

-

Class_weight

- balanced +

Fit_intercept

+ True
@@ -2227,8 +2227,8 @@

Class_weight

-

Random_state

- 123 +

Epsilon

+ 0.1
@@ -2236,8 +2236,8 @@

Random_state

-

Validation_fraction

- 0.1 +

Random_state

+ 123
@@ -2245,8 +2245,8 @@

Validation_fraction

-

Alpha

- 0.001 +

L1_ratio

+ 0.15
@@ -2254,7 +2254,7 @@

Alpha

-

Shuffle

+

Early_stopping

True
@@ -2263,8 +2263,8 @@

Shuffle

-

Warm_start

- False +

Alpha

+ 0.001
@@ -2272,8 +2272,8 @@

Warm_start

-

Eta0

- 0.01 +

Penalty

+ l2
@@ -2281,8 +2281,8 @@

Eta0

-

Learning_rate

- adaptive +

Loss

+ log_loss
diff --git a/api/tutorials/mimiciv/mortality_prediction.html b/api/tutorials/mimiciv/mortality_prediction.html index df1cfc22a..39c8231b4 100644 --- a/api/tutorials/mimiciv/mortality_prediction.html +++ b/api/tutorials/mimiciv/mortality_prediction.html @@ -603,7 +603,7 @@

Compute mortality (labels) 
-2024-06-20 16:41:00,989 INFO cycquery.orm    - Database setup, ready to run queries!
+2024-06-21 12:38:43,893 INFO cycquery.orm    - Database setup, ready to run queries!
@@ -611,7 +611,7 @@

Compute mortality (labels) 
-2024-06-20 16:41:20,235 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 12:39:06,620 INFO cycquery.orm    - Query returned successfully!

@@ -619,7 +619,7 @@

Compute mortality (labels) 
-2024-06-20 16:41:20,237 INFO cycquery.utils.profile - Finished executing function run_query in 17.059904 s
+2024-06-21 12:39:06,622 INFO cycquery.utils.profile - Finished executing function run_query in 20.457117 s

@@ -646,7 +646,7 @@

Compute mortality (labels) 
-2024-06-20 16:44:25,037 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 12:41:53,915 INFO cycquery.orm    - Query returned successfully!

@@ -654,7 +654,7 @@

Compute mortality (labels) 
-2024-06-20 16:44:25,039 INFO cycquery.utils.profile - Finished executing function run_query in 181.883991 s
+2024-06-21 12:41:53,916 INFO cycquery.utils.profile - Finished executing function run_query in 164.333240 s

@@ -726,9 +726,9 @@

Drop NaNs based on the

-
+
@@ -1205,7 +1205,7 @@

Training 
-2024-06-20 16:49:51,474 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-21 12:46:39,158 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
@@ -1213,7 +1213,7 @@

Training 

-2024-06-20 16:49:51,476 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 250
+2024-06-21 12:46:39,160 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
@@ -1221,7 +1221,7 @@

Training 

-2024-06-20 16:49:51,478 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
+2024-06-21 12:46:39,161 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
@@ -1229,7 +1229,7 @@

Training 

-2024-06-20 16:49:51,479 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-21 12:46:39,162 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
@@ -1237,7 +1237,7 @@

Training 

-2024-06-20 16:49:51,480 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
+2024-06-21 12:46:39,164 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
@@ -1245,7 +1245,7 @@

Training 

-2024-06-20 16:49:51,482 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.7
+2024-06-21 12:46:39,165 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.8
@@ -1659,24 +1659,24 @@

Training } 
XGBClassifier(base_score=None, booster=None, callbacks=None,
               colsample_bylevel=None, colsample_bynode=None,
-              colsample_bytree=0.7, early_stopping_rounds=None,
+              colsample_bytree=0.8, early_stopping_rounds=None,
               enable_categorical=False, eval_metric='logloss',
               feature_types=None, gamma=2, gpu_id=None, grow_policy=None,
               importance_type=None, interaction_constraints=None,
               learning_rate=0.1, max_bin=None, max_cat_threshold=None,
               max_cat_to_onehot=None, max_delta_step=None, max_depth=5,
               max_leaves=None, min_child_weight=3, missing=nan,
-              monotone_constraints=None, n_estimators=250, n_jobs=None,
+              monotone_constraints=None, n_estimators=500, n_jobs=None,
               num_parallel_tree=None, predictor=None, random_state=123, ...)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

@@ -1693,7 +1693,7 @@

Training 

-{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.7, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 2, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 250, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}
+{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.8, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 2, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 5, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 500, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}

Log the model parameters to the report.

@@ -1729,7 +1729,7 @@

Prediction
-
+
@@ -1854,91 +1854,91 @@

Evaluation

-
+
-
+
-
+
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+
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+
-
+
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-
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-
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-
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-
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-
+

Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -2064,9 +2064,9 @@

Evaluation
-

diff --git a/api/tutorials/mimiciv/mortality_prediction.ipynb b/api/tutorials/mimiciv/mortality_prediction.ipynb index b85710aa1..815e15278 100644 --- a/api/tutorials/mimiciv/mortality_prediction.ipynb +++ b/api/tutorials/mimiciv/mortality_prediction.ipynb @@ -21,10 +21,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:45.646167Z", - "iopub.status.busy": "2024-06-20T20:40:45.645363Z", - "iopub.status.idle": "2024-06-20T20:40:58.619244Z", - "shell.execute_reply": "2024-06-20T20:40:58.617039Z" + "iopub.execute_input": "2024-06-21T16:38:27.276724Z", + "iopub.status.busy": "2024-06-21T16:38:27.275701Z", + "iopub.status.idle": "2024-06-21T16:38:41.372988Z", + "shell.execute_reply": "2024-06-21T16:38:41.370965Z" } }, "outputs": [], @@ -89,10 +89,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:58.628162Z", - "iopub.status.busy": "2024-06-20T20:40:58.626425Z", - "iopub.status.idle": "2024-06-20T20:40:58.635210Z", - "shell.execute_reply": "2024-06-20T20:40:58.633612Z" + "iopub.execute_input": "2024-06-21T16:38:41.381823Z", + "iopub.status.busy": "2024-06-21T16:38:41.380123Z", + "iopub.status.idle": "2024-06-21T16:38:41.389175Z", + "shell.execute_reply": "2024-06-21T16:38:41.387622Z" } }, "outputs": [], @@ -112,10 +112,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:58.641941Z", - "iopub.status.busy": "2024-06-20T20:40:58.641010Z", - "iopub.status.idle": "2024-06-20T20:40:58.648722Z", - "shell.execute_reply": "2024-06-20T20:40:58.647133Z" + "iopub.execute_input": "2024-06-21T16:38:41.396338Z", + "iopub.status.busy": "2024-06-21T16:38:41.395270Z", + "iopub.status.idle": "2024-06-21T16:38:41.403108Z", + "shell.execute_reply": "2024-06-21T16:38:41.401541Z" } }, "outputs": [], @@ -147,10 +147,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:40:58.655474Z", - "iopub.status.busy": "2024-06-20T20:40:58.654778Z", - "iopub.status.idle": "2024-06-20T20:48:13.616910Z", - "shell.execute_reply": "2024-06-20T20:48:13.615048Z" + "iopub.execute_input": "2024-06-21T16:38:41.409988Z", + "iopub.status.busy": "2024-06-21T16:38:41.409419Z", + "iopub.status.idle": "2024-06-21T16:44:35.096448Z", + "shell.execute_reply": "2024-06-21T16:44:35.094441Z" } }, "outputs": [ @@ -158,21 +158,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 16:41:00,989 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" + "2024-06-21 12:38:43,893 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 16:41:20,235 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 12:39:06,620 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 16:41:20,237 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 17.059904 s\n" + "2024-06-21 12:39:06,622 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 20.457117 s\n" ] }, { @@ -196,14 +196,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 16:44:25,037 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 12:41:53,915 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 16:44:25,039 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 181.883991 s\n" + "2024-06-21 12:41:53,916 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 164.333240 s\n" ] }, { @@ -406,10 +406,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:48:13.627018Z", - "iopub.status.busy": "2024-06-20T20:48:13.625606Z", - "iopub.status.idle": "2024-06-20T20:48:14.011523Z", - "shell.execute_reply": "2024-06-20T20:48:14.010023Z" + "iopub.execute_input": "2024-06-21T16:44:35.104342Z", + "iopub.status.busy": "2024-06-21T16:44:35.103284Z", + "iopub.status.idle": "2024-06-21T16:44:35.476126Z", + "shell.execute_reply": "2024-06-21T16:44:35.474315Z" } }, "outputs": [ @@ -2407,9 +2407,9 @@ } }, "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting the ROC curves for all the slices\n", - "roc_plot = plotter.roc_curve_comparison(roc_curves, aurocs=aurocs)\n", - "report.log_plotly_figure(\n", - " fig=roc_plot,\n", - " caption=\"ROC Curve Comparison\",\n", - " section_name=\"quantitative analysis\",\n", - ")\n", - "roc_plot.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "execution": { - "iopub.execute_input": "2024-06-20T20:50:02.635120Z", - "iopub.status.busy": "2024-06-20T20:50:02.633736Z", - "iopub.status.idle": "2024-06-20T20:50:02.793550Z", - "shell.execute_reply": "2024-06-20T20:50:02.791922Z" - } - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "mode": "lines", - "name": "age:[20 - 50) (AUC = 0.26)", - "type": "scatter", - "x": [ - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, - 1.0, 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@@ -2365,9 +2365,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:AveragePrecision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"6\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"11\": [\"metric:AveragePrecision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"12\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"16\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"17\": [\"metric:AveragePrecision\", \"gender:M\", \"age:overall_age\"], \"18\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"21\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"22\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"23\": [\"metric:AveragePrecision\", \"gender:F\", \"age:overall_age\"], \"24\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"25\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"26\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"27\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"28\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"], \"29\": [\"metric:AveragePrecision\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.9929078221321106\", \"1.0\", \"0.985828701419916\", \"1.0\", \"0.8843987846228066\"], \"1\": [\"0.5\", \"0.34712190020229095\", \"0.3531841153225101\", \"0.5280186662444619\", \"0.39494599419712517\"], \"2\": [\"0.20000000298023224\", \"0.1076611417791914\", \"0.0\", \"0.0490834890440311\", \"0.06797951819620529\"], \"3\": [\"0.2857142984867096\", \"0.1755887523239794\", \"0.04474086057902468\", \"0.03939353121586274\", \"0.0\"], \"4\": [\"0.8799999952316284\", \"0.7985950945594956\", \"0.7669570045122746\", \"0.7357508421641497\", \"0.6933209202720021\"], \"5\": [\"0.25819018483161926\", \"0.0844264226306859\", \"0.06828692691501967\", \"0.14352222046957905\", \"0.12465291209585516\"], \"6\": [\"0.9674593210220337\", \"1.0\", \"0.9863842075812934\", \"0.6988844267486907\", \"0.8207932658911804\"], \"7\": [\"0.22857142984867096\", \"0.258281241254323\", \"0.4266567044588299\", \"0.4328894601616587\", \"0.27635539360110695\"], \"8\": [\"0.24242424964904785\", \"0.3965226394258866\", \"0.45574441111667413\", \"0.28426794521581855\", \"0.2778708300867584\"], \"9\": [\"0.23529411852359772\", \"0.40569109073609894\", \"0.23106379296150292\", \"0.413951008190455\", \"0.6438827769467785\"], \"10\": [\"0.8644399046897888\", \"0.9629999005566015\", \"0.7777866677350134\", \"0.8820367646578039\", \"0.9057715695160854\"], \"11\": [\"0.21814139187335968\", \"0.20464192103418843\", \"0.1537295474663452\", \"0.1152706780518325\", \"0.19016111231971145\"], \"12\": [\"0.9664179086685181\", \"0.7538111246948416\", \"0.7689934580884576\", \"0.6549526840913138\", \"0.701245612322693\"], \"13\": [\"0.21212121844291687\", \"0.31624483703101547\", \"0.3354397171658102\", \"0.38389260070816\", \"0.17558279284803877\"], \"14\": [\"0.26923078298568726\", \"0.19822029558575788\", \"0.3329962778309754\", \"0.34283694405800924\", \"0.39037830912096516\"], \"15\": [\"0.23728813230991364\", \"0.15468948128120918\", \"0.058481256303583584\", \"0.0\", \"0.0\"], \"16\": [\"0.8231178522109985\", \"0.8338620130738356\", \"0.8058253210031631\", \"0.9125162893154221\", \"0.9757156543009519\"], \"17\": [\"0.1793532818555832\", \"0.07829401622810722\", \"0.0\", \"0.08610223587035844\", \"0.07759728736444982\"], \"18\": [\"0.9762061834335327\", \"0.8721827574602694\", \"0.790485619555374\", \"0.9409910331721006\", \"0.984654963069372\"], \"19\": [\"0.2800000011920929\", \"0.29184243744002863\", \"0.23714678512239928\", \"0.1518741512015857\", \"0.24818396026713696\"], \"20\": [\"0.2800000011920929\", \"0.14157627004353346\", \"0.10580558904154792\", \"0.04024810909415957\", \"0.0\"], \"21\": [\"0.2800000011920929\", \"0.24868668666818672\", \"0.26512321664286914\", \"0.25711090512347806\", \"0.14613172063169655\"], \"22\": [\"0.8966398239135742\", \"0.8907180693915745\", \"0.8839348413100755\", \"0.9872873516895664\", \"0.9114692325553377\"], \"23\": [\"0.20343610644340515\", \"0.0\", \"0.007771376762312614\", \"0.1360435316419991\", \"0.1247167480924817\"], \"24\": [\"0.9716088175773621\", \"1.0\", \"1.0\", \"0.9395935930809989\", \"1.0\"], \"25\": [\"0.24137930572032928\", \"0.29340571177662966\", \"0.4645920523017998\", \"0.47971062985314666\", \"0.3788833533393545\"], \"26\": [\"0.27450981736183167\", \"0.38184482771502976\", \"0.4080891388723007\", \"0.43464896189667535\", \"0.24003465378234867\"], \"27\": [\"0.2568807303905487\", \"0.30561292586166766\", \"0.2293233015046025\", \"0.3504182052896593\", \"0.4639079091529071\"], \"28\": [\"0.8610866665840149\", \"0.8463188465789014\", \"0.7758791729938841\", \"0.6669887363198344\", \"0.7364646284528332\"], \"29\": [\"0.17977246642112732\", \"0.2830454018375998\", \"0.24273622259641864\", \"0.26913903263391115\", \"0.42893190133625125\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.9953488111495972\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"1\": [\"1.0\", \"0.7993902656675486\", \"0.8079110342535514\", \"0.7680000415517255\", \"0.6731936241908321\"], \"2\": [\"0.25\", \"0.23765900714272914\", \"0.2873325455644623\", \"0.3973770451136071\", \"0.386858399953309\"], \"3\": [\"0.4000000059604645\", \"0.38348529680075694\", \"0.5351938660338172\", \"0.5563102521231208\", \"0.510532690969552\"], \"4\": [\"0.8346334099769592\", \"0.9186881434573521\", \"0.9741683215478039\", \"0.9968884338707964\", \"1.0\"], \"5\": [\"0.29812872409820557\", \"0.3101447179963847\", \"0.3094378081101959\", \"0.16512302880768534\", \"0.25446945056188425\"], \"6\": [\"0.9684466123580933\", \"0.8735595013568799\", \"1.0\", \"1.0\", \"1.0\"], \"7\": [\"0.1785714328289032\", \"0.011643946559060536\", \"0.0\", \"0.0\", \"0.18713986634836263\"], \"8\": [\"0.14705882966518402\", \"0.02224584811500753\", \"0.0\", \"0.0\", \"0.0\"], \"9\": [\"0.16129031777381897\", \"0.13252903260525276\", \"0.014465670747485282\", \"0.038773882126446585\", \"0.0\"], \"10\": [\"0.8789361715316772\", \"0.8348021584158638\", \"0.728831911513427\", \"0.780507163779416\", \"0.895553801540735\"], \"11\": [\"0.1772000938653946\", \"0.3393928207293333\", \"0.4786994099505495\", \"0.42501058093440086\", \"0.36102589069177426\"], \"12\": [\"0.9711902737617493\", \"0.9908370083094797\", \"1.0\", \"1.0\", \"0.9863688016034272\"], \"13\": [\"0.23076923191547394\", \"0.11476393079418745\", \"0.09815099548518265\", \"0.19980566651444903\", \"0.15410370371487533\"], \"14\": [\"0.25\", \"0.11420098878581014\", \"0.1947830477987602\", \"0.038946058819840895\", \"0.05101457301602234\"], \"15\": [\"0.23999999463558197\", \"0.28625162550535765\", \"0.2626801144440929\", \"0.3660402079938562\", \"0.42689276689148353\"], \"16\": [\"0.8599742650985718\", \"0.7952119566861008\", \"0.9666052223427791\", \"1.0\", \"0.92849883428478\"], \"17\": [\"0.1677442193031311\", \"0.38898343116511214\", \"0.6369642150629748\", \"0.7073790684844586\", \"0.6904527131837013\"], \"18\": [\"0.9758800268173218\", \"0.9553177954726394\", \"0.8628963285687872\", \"0.7474574504586908\", \"0.6540391465424891\"], \"19\": [\"0.27272728085517883\", \"0.20603300857497164\", \"0.20848797427350696\", \"0.2104853915245526\", \"0.0\"], \"20\": [\"0.2222222238779068\", \"0.18107109286527814\", \"0.16734524566711706\", \"0.178329300199284\", \"0.26294567869476443\"], \"21\": [\"0.2448979616165161\", \"0.40789726545792604\", \"0.3379377154393033\", \"0.27564844954977696\", \"0.35982916435740386\"], \"22\": [\"0.8962495923042297\", \"0.9935912007636766\", \"0.9394676184716995\", \"1.0\", \"0.9918041051132581\"], \"23\": [\"0.25106149911880493\", \"0.151893198656177\", \"0.11629980597598255\", \"0.1628295444835471\", \"0.2549227496216699\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9254323177149837\", \"1.0\", \"1.0\"], \"25\": [\"0.25\", \"0.2549913092889887\", \"0.3144884648049238\", \"0.20887493868305496\", \"0.16471153624165047\"], \"26\": [\"0.23529411852359772\", \"0.12709145739819877\", \"0.021812559034562723\", \"0.0\", \"0.04945846092622247\"], \"27\": [\"0.24242424964904785\", \"0.19529589269402667\", \"0.14297683063271366\", \"0.0\", \"0.06494932846777333\"], \"28\": [\"0.8791444897651672\", \"0.8248631747244952\", \"0.8200874333802807\", \"0.7757643509422949\", \"0.8376748758977903\"], \"29\": [\"0.1952195167541504\", \"0.3234275068723167\", \"0.1324381124929972\", \"0.0014905498601985312\", \"0.0\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\", \"25\": \"0.7\", \"26\": \"0.7\", \"27\": \"0.7\", \"28\": \"0.7\", \"29\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": false, \"4\": false, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": true, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": true, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": false, \"4\": true, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": true, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": false, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"AveragePrecision\", \"6\": \"Accuracy\", \"7\": \"Precision\", \"8\": \"Recall\", \"9\": \"F1 Score\", \"10\": \"AUROC\", \"11\": \"AveragePrecision\", \"12\": \"Accuracy\", \"13\": \"Precision\", \"14\": \"Recall\", \"15\": \"F1 Score\", \"16\": \"AUROC\", \"17\": \"AveragePrecision\", \"18\": \"Accuracy\", \"19\": \"Precision\", \"20\": \"Recall\", \"21\": \"F1 Score\", \"22\": \"AUROC\", \"23\": \"AveragePrecision\", \"24\": \"Accuracy\", \"25\": \"Precision\", \"26\": \"Recall\", \"27\": \"F1 Score\", \"28\": \"AUROC\", \"29\": \"AveragePrecision\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"25\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"26\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"27\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"28\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"29\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2669,7 +2669,7 @@

Ethical Considerations

function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [24, 25, 26, 27, 28, 29] - var histories = JSON.parse("{\"0\": [\"0.9929078221321106\", \"1.0\", \"0.985828701419916\", \"1.0\", \"0.8843987846228066\"], \"1\": [\"0.5\", \"0.34712190020229095\", \"0.3531841153225101\", \"0.5280186662444619\", \"0.39494599419712517\"], \"2\": [\"0.20000000298023224\", \"0.1076611417791914\", \"0.0\", \"0.0490834890440311\", \"0.06797951819620529\"], \"3\": [\"0.2857142984867096\", \"0.1755887523239794\", \"0.04474086057902468\", \"0.03939353121586274\", \"0.0\"], \"4\": [\"0.8799999952316284\", \"0.7985950945594956\", \"0.7669570045122746\", \"0.7357508421641497\", \"0.6933209202720021\"], \"5\": [\"0.25819018483161926\", \"0.0844264226306859\", \"0.06828692691501967\", \"0.14352222046957905\", \"0.12465291209585516\"], \"6\": [\"0.9674593210220337\", \"1.0\", \"0.9863842075812934\", \"0.6988844267486907\", \"0.8207932658911804\"], \"7\": [\"0.22857142984867096\", \"0.258281241254323\", \"0.4266567044588299\", \"0.4328894601616587\", \"0.27635539360110695\"], \"8\": [\"0.24242424964904785\", \"0.3965226394258866\", \"0.45574441111667413\", \"0.28426794521581855\", \"0.2778708300867584\"], \"9\": [\"0.23529411852359772\", \"0.40569109073609894\", \"0.23106379296150292\", \"0.413951008190455\", \"0.6438827769467785\"], \"10\": [\"0.8644399046897888\", \"0.9629999005566015\", \"0.7777866677350134\", \"0.8820367646578039\", \"0.9057715695160854\"], \"11\": [\"0.21814139187335968\", \"0.20464192103418843\", \"0.1537295474663452\", \"0.1152706780518325\", \"0.19016111231971145\"], \"12\": [\"0.9664179086685181\", \"0.7538111246948416\", \"0.7689934580884576\", \"0.6549526840913138\", \"0.701245612322693\"], \"13\": [\"0.21212121844291687\", \"0.31624483703101547\", \"0.3354397171658102\", \"0.38389260070816\", \"0.17558279284803877\"], \"14\": [\"0.26923078298568726\", \"0.19822029558575788\", \"0.3329962778309754\", \"0.34283694405800924\", \"0.39037830912096516\"], \"15\": [\"0.23728813230991364\", \"0.15468948128120918\", \"0.058481256303583584\", \"0.0\", \"0.0\"], \"16\": [\"0.8231178522109985\", \"0.8338620130738356\", \"0.8058253210031631\", \"0.9125162893154221\", \"0.9757156543009519\"], \"17\": [\"0.1793532818555832\", \"0.07829401622810722\", \"0.0\", \"0.08610223587035844\", \"0.07759728736444982\"], \"18\": [\"0.9762061834335327\", \"0.8721827574602694\", \"0.790485619555374\", \"0.9409910331721006\", \"0.984654963069372\"], \"19\": [\"0.2800000011920929\", \"0.29184243744002863\", \"0.23714678512239928\", \"0.1518741512015857\", \"0.24818396026713696\"], \"20\": [\"0.2800000011920929\", \"0.14157627004353346\", \"0.10580558904154792\", \"0.04024810909415957\", \"0.0\"], \"21\": [\"0.2800000011920929\", \"0.24868668666818672\", \"0.26512321664286914\", \"0.25711090512347806\", \"0.14613172063169655\"], \"22\": [\"0.8966398239135742\", \"0.8907180693915745\", \"0.8839348413100755\", \"0.9872873516895664\", \"0.9114692325553377\"], \"23\": [\"0.20343610644340515\", \"0.0\", \"0.007771376762312614\", \"0.1360435316419991\", \"0.1247167480924817\"], \"24\": [\"0.9716088175773621\", \"1.0\", \"1.0\", \"0.9395935930809989\", \"1.0\"], \"25\": [\"0.24137930572032928\", \"0.29340571177662966\", \"0.4645920523017998\", \"0.47971062985314666\", \"0.3788833533393545\"], \"26\": [\"0.27450981736183167\", \"0.38184482771502976\", \"0.4080891388723007\", \"0.43464896189667535\", \"0.24003465378234867\"], \"27\": [\"0.2568807303905487\", \"0.30561292586166766\", \"0.2293233015046025\", \"0.3504182052896593\", \"0.4639079091529071\"], \"28\": [\"0.8610866665840149\", \"0.8463188465789014\", \"0.7758791729938841\", \"0.6669887363198344\", \"0.7364646284528332\"], \"29\": [\"0.17977246642112732\", \"0.2830454018375998\", \"0.24273622259641864\", \"0.26913903263391115\", \"0.42893190133625125\"]}"); + var histories = JSON.parse("{\"0\": [\"0.9953488111495972\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"1\": [\"1.0\", \"0.7993902656675486\", \"0.8079110342535514\", \"0.7680000415517255\", \"0.6731936241908321\"], \"2\": [\"0.25\", \"0.23765900714272914\", \"0.2873325455644623\", \"0.3973770451136071\", \"0.386858399953309\"], \"3\": [\"0.4000000059604645\", \"0.38348529680075694\", \"0.5351938660338172\", \"0.5563102521231208\", \"0.510532690969552\"], \"4\": [\"0.8346334099769592\", \"0.9186881434573521\", \"0.9741683215478039\", \"0.9968884338707964\", \"1.0\"], \"5\": [\"0.29812872409820557\", \"0.3101447179963847\", \"0.3094378081101959\", \"0.16512302880768534\", \"0.25446945056188425\"], \"6\": [\"0.9684466123580933\", \"0.8735595013568799\", \"1.0\", \"1.0\", \"1.0\"], \"7\": [\"0.1785714328289032\", \"0.011643946559060536\", \"0.0\", \"0.0\", \"0.18713986634836263\"], \"8\": [\"0.14705882966518402\", \"0.02224584811500753\", \"0.0\", \"0.0\", \"0.0\"], \"9\": [\"0.16129031777381897\", \"0.13252903260525276\", \"0.014465670747485282\", \"0.038773882126446585\", \"0.0\"], \"10\": [\"0.8789361715316772\", \"0.8348021584158638\", \"0.728831911513427\", \"0.780507163779416\", \"0.895553801540735\"], \"11\": [\"0.1772000938653946\", \"0.3393928207293333\", \"0.4786994099505495\", \"0.42501058093440086\", \"0.36102589069177426\"], \"12\": [\"0.9711902737617493\", \"0.9908370083094797\", \"1.0\", \"1.0\", \"0.9863688016034272\"], \"13\": [\"0.23076923191547394\", \"0.11476393079418745\", \"0.09815099548518265\", \"0.19980566651444903\", \"0.15410370371487533\"], \"14\": [\"0.25\", \"0.11420098878581014\", \"0.1947830477987602\", \"0.038946058819840895\", \"0.05101457301602234\"], \"15\": [\"0.23999999463558197\", \"0.28625162550535765\", \"0.2626801144440929\", \"0.3660402079938562\", \"0.42689276689148353\"], \"16\": [\"0.8599742650985718\", \"0.7952119566861008\", \"0.9666052223427791\", \"1.0\", \"0.92849883428478\"], \"17\": [\"0.1677442193031311\", \"0.38898343116511214\", \"0.6369642150629748\", \"0.7073790684844586\", \"0.6904527131837013\"], \"18\": [\"0.9758800268173218\", \"0.9553177954726394\", \"0.8628963285687872\", \"0.7474574504586908\", \"0.6540391465424891\"], \"19\": [\"0.27272728085517883\", \"0.20603300857497164\", \"0.20848797427350696\", \"0.2104853915245526\", \"0.0\"], \"20\": [\"0.2222222238779068\", \"0.18107109286527814\", \"0.16734524566711706\", \"0.178329300199284\", \"0.26294567869476443\"], \"21\": [\"0.2448979616165161\", \"0.40789726545792604\", \"0.3379377154393033\", \"0.27564844954977696\", \"0.35982916435740386\"], \"22\": [\"0.8962495923042297\", \"0.9935912007636766\", \"0.9394676184716995\", \"1.0\", \"0.9918041051132581\"], \"23\": [\"0.25106149911880493\", \"0.151893198656177\", \"0.11629980597598255\", \"0.1628295444835471\", \"0.2549227496216699\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9254323177149837\", \"1.0\", \"1.0\"], \"25\": [\"0.25\", \"0.2549913092889887\", \"0.3144884648049238\", \"0.20887493868305496\", \"0.16471153624165047\"], \"26\": [\"0.23529411852359772\", \"0.12709145739819877\", \"0.021812559034562723\", \"0.0\", \"0.04945846092622247\"], \"27\": [\"0.24242424964904785\", \"0.19529589269402667\", \"0.14297683063271366\", \"0.0\", \"0.06494932846777333\"], \"28\": [\"0.8791444897651672\", \"0.8248631747244952\", \"0.8200874333802807\", \"0.7757643509422949\", \"0.8376748758977903\"], \"29\": [\"0.1952195167541504\", \"0.3234275068723167\", \"0.1324381124929972\", \"0.0014905498601985312\", \"0.0\"]}"); var thresholds = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\", \"25\": \"0.7\", \"26\": \"0.7\", \"27\": \"0.7\", \"28\": \"0.7\", \"29\": \"0.7\"}"); var timestamps = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"25\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"26\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"27\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"28\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"29\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2969,9 +2969,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:AveragePrecision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"6\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"11\": [\"metric:AveragePrecision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"12\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"16\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"17\": [\"metric:AveragePrecision\", \"gender:M\", \"age:overall_age\"], \"18\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"21\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"22\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"23\": [\"metric:AveragePrecision\", \"gender:F\", \"age:overall_age\"], \"24\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"25\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"26\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"27\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"28\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"], \"29\": [\"metric:AveragePrecision\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.9929078221321106\", \"1.0\", \"0.985828701419916\", \"1.0\", \"0.8843987846228066\"], \"1\": [\"0.5\", \"0.34712190020229095\", \"0.3531841153225101\", \"0.5280186662444619\", \"0.39494599419712517\"], \"2\": [\"0.20000000298023224\", \"0.1076611417791914\", \"0.0\", \"0.0490834890440311\", \"0.06797951819620529\"], \"3\": [\"0.2857142984867096\", \"0.1755887523239794\", \"0.04474086057902468\", \"0.03939353121586274\", \"0.0\"], \"4\": [\"0.8799999952316284\", \"0.7985950945594956\", \"0.7669570045122746\", \"0.7357508421641497\", \"0.6933209202720021\"], \"5\": [\"0.25819018483161926\", \"0.0844264226306859\", \"0.06828692691501967\", \"0.14352222046957905\", \"0.12465291209585516\"], \"6\": [\"0.9674593210220337\", \"1.0\", \"0.9863842075812934\", \"0.6988844267486907\", \"0.8207932658911804\"], \"7\": [\"0.22857142984867096\", \"0.258281241254323\", \"0.4266567044588299\", \"0.4328894601616587\", \"0.27635539360110695\"], \"8\": [\"0.24242424964904785\", \"0.3965226394258866\", \"0.45574441111667413\", \"0.28426794521581855\", \"0.2778708300867584\"], \"9\": [\"0.23529411852359772\", \"0.40569109073609894\", \"0.23106379296150292\", \"0.413951008190455\", \"0.6438827769467785\"], \"10\": [\"0.8644399046897888\", \"0.9629999005566015\", \"0.7777866677350134\", \"0.8820367646578039\", \"0.9057715695160854\"], \"11\": [\"0.21814139187335968\", \"0.20464192103418843\", \"0.1537295474663452\", \"0.1152706780518325\", \"0.19016111231971145\"], \"12\": [\"0.9664179086685181\", \"0.7538111246948416\", \"0.7689934580884576\", \"0.6549526840913138\", \"0.701245612322693\"], \"13\": [\"0.21212121844291687\", \"0.31624483703101547\", \"0.3354397171658102\", \"0.38389260070816\", \"0.17558279284803877\"], \"14\": [\"0.26923078298568726\", \"0.19822029558575788\", \"0.3329962778309754\", \"0.34283694405800924\", \"0.39037830912096516\"], \"15\": [\"0.23728813230991364\", \"0.15468948128120918\", \"0.058481256303583584\", \"0.0\", \"0.0\"], \"16\": [\"0.8231178522109985\", \"0.8338620130738356\", \"0.8058253210031631\", \"0.9125162893154221\", \"0.9757156543009519\"], \"17\": [\"0.1793532818555832\", \"0.07829401622810722\", \"0.0\", \"0.08610223587035844\", \"0.07759728736444982\"], \"18\": [\"0.9762061834335327\", \"0.8721827574602694\", \"0.790485619555374\", \"0.9409910331721006\", \"0.984654963069372\"], \"19\": [\"0.2800000011920929\", \"0.29184243744002863\", \"0.23714678512239928\", \"0.1518741512015857\", \"0.24818396026713696\"], \"20\": [\"0.2800000011920929\", \"0.14157627004353346\", \"0.10580558904154792\", \"0.04024810909415957\", \"0.0\"], \"21\": [\"0.2800000011920929\", \"0.24868668666818672\", \"0.26512321664286914\", \"0.25711090512347806\", \"0.14613172063169655\"], \"22\": [\"0.8966398239135742\", \"0.8907180693915745\", \"0.8839348413100755\", \"0.9872873516895664\", \"0.9114692325553377\"], \"23\": [\"0.20343610644340515\", \"0.0\", \"0.007771376762312614\", \"0.1360435316419991\", \"0.1247167480924817\"], \"24\": [\"0.9716088175773621\", \"1.0\", \"1.0\", \"0.9395935930809989\", \"1.0\"], \"25\": [\"0.24137930572032928\", \"0.29340571177662966\", \"0.4645920523017998\", \"0.47971062985314666\", \"0.3788833533393545\"], \"26\": [\"0.27450981736183167\", \"0.38184482771502976\", \"0.4080891388723007\", \"0.43464896189667535\", \"0.24003465378234867\"], \"27\": [\"0.2568807303905487\", \"0.30561292586166766\", \"0.2293233015046025\", \"0.3504182052896593\", \"0.4639079091529071\"], \"28\": [\"0.8610866665840149\", \"0.8463188465789014\", \"0.7758791729938841\", \"0.6669887363198344\", \"0.7364646284528332\"], \"29\": [\"0.17977246642112732\", \"0.2830454018375998\", \"0.24273622259641864\", \"0.26913903263391115\", \"0.42893190133625125\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.9953488111495972\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"1\": [\"1.0\", \"0.7993902656675486\", \"0.8079110342535514\", \"0.7680000415517255\", \"0.6731936241908321\"], \"2\": [\"0.25\", \"0.23765900714272914\", \"0.2873325455644623\", \"0.3973770451136071\", \"0.386858399953309\"], \"3\": [\"0.4000000059604645\", \"0.38348529680075694\", \"0.5351938660338172\", \"0.5563102521231208\", \"0.510532690969552\"], \"4\": [\"0.8346334099769592\", \"0.9186881434573521\", \"0.9741683215478039\", \"0.9968884338707964\", \"1.0\"], \"5\": [\"0.29812872409820557\", \"0.3101447179963847\", \"0.3094378081101959\", \"0.16512302880768534\", \"0.25446945056188425\"], \"6\": [\"0.9684466123580933\", \"0.8735595013568799\", \"1.0\", \"1.0\", \"1.0\"], \"7\": [\"0.1785714328289032\", \"0.011643946559060536\", \"0.0\", \"0.0\", \"0.18713986634836263\"], \"8\": [\"0.14705882966518402\", \"0.02224584811500753\", \"0.0\", \"0.0\", \"0.0\"], \"9\": [\"0.16129031777381897\", \"0.13252903260525276\", \"0.014465670747485282\", \"0.038773882126446585\", \"0.0\"], \"10\": [\"0.8789361715316772\", \"0.8348021584158638\", \"0.728831911513427\", \"0.780507163779416\", \"0.895553801540735\"], \"11\": [\"0.1772000938653946\", \"0.3393928207293333\", \"0.4786994099505495\", \"0.42501058093440086\", \"0.36102589069177426\"], \"12\": [\"0.9711902737617493\", \"0.9908370083094797\", \"1.0\", \"1.0\", \"0.9863688016034272\"], \"13\": [\"0.23076923191547394\", \"0.11476393079418745\", \"0.09815099548518265\", \"0.19980566651444903\", \"0.15410370371487533\"], \"14\": [\"0.25\", \"0.11420098878581014\", \"0.1947830477987602\", \"0.038946058819840895\", \"0.05101457301602234\"], \"15\": [\"0.23999999463558197\", \"0.28625162550535765\", \"0.2626801144440929\", \"0.3660402079938562\", \"0.42689276689148353\"], \"16\": [\"0.8599742650985718\", \"0.7952119566861008\", \"0.9666052223427791\", \"1.0\", \"0.92849883428478\"], \"17\": [\"0.1677442193031311\", \"0.38898343116511214\", \"0.6369642150629748\", \"0.7073790684844586\", \"0.6904527131837013\"], \"18\": [\"0.9758800268173218\", \"0.9553177954726394\", \"0.8628963285687872\", \"0.7474574504586908\", \"0.6540391465424891\"], \"19\": [\"0.27272728085517883\", \"0.20603300857497164\", \"0.20848797427350696\", \"0.2104853915245526\", \"0.0\"], \"20\": [\"0.2222222238779068\", \"0.18107109286527814\", \"0.16734524566711706\", \"0.178329300199284\", \"0.26294567869476443\"], \"21\": [\"0.2448979616165161\", \"0.40789726545792604\", \"0.3379377154393033\", \"0.27564844954977696\", \"0.35982916435740386\"], \"22\": [\"0.8962495923042297\", \"0.9935912007636766\", \"0.9394676184716995\", \"1.0\", \"0.9918041051132581\"], \"23\": [\"0.25106149911880493\", \"0.151893198656177\", \"0.11629980597598255\", \"0.1628295444835471\", \"0.2549227496216699\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9254323177149837\", \"1.0\", \"1.0\"], \"25\": [\"0.25\", \"0.2549913092889887\", \"0.3144884648049238\", \"0.20887493868305496\", \"0.16471153624165047\"], \"26\": [\"0.23529411852359772\", \"0.12709145739819877\", \"0.021812559034562723\", \"0.0\", \"0.04945846092622247\"], \"27\": [\"0.24242424964904785\", \"0.19529589269402667\", \"0.14297683063271366\", \"0.0\", \"0.06494932846777333\"], \"28\": [\"0.8791444897651672\", \"0.8248631747244952\", \"0.8200874333802807\", \"0.7757643509422949\", \"0.8376748758977903\"], \"29\": [\"0.1952195167541504\", \"0.3234275068723167\", \"0.1324381124929972\", \"0.0014905498601985312\", \"0.0\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\", \"25\": \"0.7\", \"26\": \"0.7\", \"27\": \"0.7\", \"28\": \"0.7\", \"29\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": false, \"4\": false, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": true, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": true, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": false, \"2\": false, \"3\": false, \"4\": true, \"5\": false, \"6\": true, \"7\": false, \"8\": false, \"9\": false, \"10\": true, \"11\": false, \"12\": true, \"13\": false, \"14\": false, \"15\": false, \"16\": true, \"17\": false, \"18\": false, \"19\": false, \"20\": false, \"21\": false, \"22\": true, \"23\": false, \"24\": true, \"25\": false, \"26\": false, \"27\": false, \"28\": true, \"29\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"AveragePrecision\", \"6\": \"Accuracy\", \"7\": \"Precision\", \"8\": \"Recall\", \"9\": \"F1 Score\", \"10\": \"AUROC\", \"11\": \"AveragePrecision\", \"12\": \"Accuracy\", \"13\": \"Precision\", \"14\": \"Recall\", \"15\": \"F1 Score\", \"16\": \"AUROC\", \"17\": \"AveragePrecision\", \"18\": \"Accuracy\", \"19\": \"Precision\", \"20\": \"Recall\", \"21\": \"F1 Score\", \"22\": \"AUROC\", \"23\": \"AveragePrecision\", \"24\": \"Accuracy\", \"25\": \"Precision\", \"26\": \"Recall\", \"27\": \"F1 Score\", \"28\": \"AUROC\", \"29\": \"AveragePrecision\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"25\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"26\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"27\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"28\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"29\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -3484,7 +3484,7 @@

Ethical Considerations

]; // create global variable for max_n_evals - var histories = JSON.parse("{\"0\": [\"0.9929078221321106\", \"1.0\", \"0.985828701419916\", \"1.0\", \"0.8843987846228066\"], \"1\": [\"0.5\", \"0.34712190020229095\", \"0.3531841153225101\", \"0.5280186662444619\", \"0.39494599419712517\"], \"2\": [\"0.20000000298023224\", \"0.1076611417791914\", \"0.0\", \"0.0490834890440311\", \"0.06797951819620529\"], \"3\": [\"0.2857142984867096\", \"0.1755887523239794\", \"0.04474086057902468\", \"0.03939353121586274\", \"0.0\"], \"4\": [\"0.8799999952316284\", \"0.7985950945594956\", \"0.7669570045122746\", \"0.7357508421641497\", \"0.6933209202720021\"], \"5\": [\"0.25819018483161926\", \"0.0844264226306859\", \"0.06828692691501967\", \"0.14352222046957905\", \"0.12465291209585516\"], \"6\": [\"0.9674593210220337\", \"1.0\", \"0.9863842075812934\", \"0.6988844267486907\", \"0.8207932658911804\"], \"7\": [\"0.22857142984867096\", \"0.258281241254323\", \"0.4266567044588299\", \"0.4328894601616587\", \"0.27635539360110695\"], \"8\": [\"0.24242424964904785\", \"0.3965226394258866\", \"0.45574441111667413\", \"0.28426794521581855\", \"0.2778708300867584\"], \"9\": [\"0.23529411852359772\", \"0.40569109073609894\", \"0.23106379296150292\", \"0.413951008190455\", \"0.6438827769467785\"], \"10\": [\"0.8644399046897888\", \"0.9629999005566015\", \"0.7777866677350134\", \"0.8820367646578039\", \"0.9057715695160854\"], \"11\": [\"0.21814139187335968\", \"0.20464192103418843\", \"0.1537295474663452\", \"0.1152706780518325\", \"0.19016111231971145\"], \"12\": [\"0.9664179086685181\", \"0.7538111246948416\", \"0.7689934580884576\", \"0.6549526840913138\", \"0.701245612322693\"], \"13\": [\"0.21212121844291687\", \"0.31624483703101547\", \"0.3354397171658102\", \"0.38389260070816\", \"0.17558279284803877\"], \"14\": [\"0.26923078298568726\", \"0.19822029558575788\", \"0.3329962778309754\", \"0.34283694405800924\", \"0.39037830912096516\"], \"15\": [\"0.23728813230991364\", \"0.15468948128120918\", \"0.058481256303583584\", \"0.0\", \"0.0\"], \"16\": [\"0.8231178522109985\", \"0.8338620130738356\", \"0.8058253210031631\", \"0.9125162893154221\", \"0.9757156543009519\"], \"17\": [\"0.1793532818555832\", \"0.07829401622810722\", \"0.0\", \"0.08610223587035844\", \"0.07759728736444982\"], \"18\": [\"0.9762061834335327\", \"0.8721827574602694\", \"0.790485619555374\", \"0.9409910331721006\", \"0.984654963069372\"], \"19\": [\"0.2800000011920929\", \"0.29184243744002863\", \"0.23714678512239928\", \"0.1518741512015857\", \"0.24818396026713696\"], \"20\": [\"0.2800000011920929\", \"0.14157627004353346\", \"0.10580558904154792\", \"0.04024810909415957\", \"0.0\"], \"21\": [\"0.2800000011920929\", \"0.24868668666818672\", \"0.26512321664286914\", \"0.25711090512347806\", \"0.14613172063169655\"], \"22\": [\"0.8966398239135742\", \"0.8907180693915745\", \"0.8839348413100755\", \"0.9872873516895664\", \"0.9114692325553377\"], \"23\": [\"0.20343610644340515\", \"0.0\", \"0.007771376762312614\", \"0.1360435316419991\", \"0.1247167480924817\"], \"24\": [\"0.9716088175773621\", \"1.0\", \"1.0\", \"0.9395935930809989\", \"1.0\"], \"25\": [\"0.24137930572032928\", \"0.29340571177662966\", \"0.4645920523017998\", \"0.47971062985314666\", \"0.3788833533393545\"], \"26\": [\"0.27450981736183167\", \"0.38184482771502976\", \"0.4080891388723007\", \"0.43464896189667535\", \"0.24003465378234867\"], \"27\": [\"0.2568807303905487\", \"0.30561292586166766\", \"0.2293233015046025\", \"0.3504182052896593\", \"0.4639079091529071\"], \"28\": [\"0.8610866665840149\", \"0.8463188465789014\", \"0.7758791729938841\", \"0.6669887363198344\", \"0.7364646284528332\"], \"29\": [\"0.17977246642112732\", \"0.2830454018375998\", \"0.24273622259641864\", \"0.26913903263391115\", \"0.42893190133625125\"]}"); + var histories = JSON.parse("{\"0\": [\"0.9953488111495972\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"1\": [\"1.0\", \"0.7993902656675486\", \"0.8079110342535514\", \"0.7680000415517255\", \"0.6731936241908321\"], \"2\": [\"0.25\", \"0.23765900714272914\", \"0.2873325455644623\", \"0.3973770451136071\", \"0.386858399953309\"], \"3\": [\"0.4000000059604645\", \"0.38348529680075694\", \"0.5351938660338172\", \"0.5563102521231208\", \"0.510532690969552\"], \"4\": [\"0.8346334099769592\", \"0.9186881434573521\", \"0.9741683215478039\", \"0.9968884338707964\", \"1.0\"], \"5\": [\"0.29812872409820557\", \"0.3101447179963847\", \"0.3094378081101959\", \"0.16512302880768534\", \"0.25446945056188425\"], \"6\": [\"0.9684466123580933\", \"0.8735595013568799\", \"1.0\", \"1.0\", \"1.0\"], \"7\": [\"0.1785714328289032\", \"0.011643946559060536\", \"0.0\", \"0.0\", \"0.18713986634836263\"], \"8\": [\"0.14705882966518402\", \"0.02224584811500753\", \"0.0\", \"0.0\", \"0.0\"], \"9\": [\"0.16129031777381897\", \"0.13252903260525276\", \"0.014465670747485282\", \"0.038773882126446585\", \"0.0\"], \"10\": [\"0.8789361715316772\", \"0.8348021584158638\", \"0.728831911513427\", \"0.780507163779416\", \"0.895553801540735\"], \"11\": [\"0.1772000938653946\", \"0.3393928207293333\", \"0.4786994099505495\", \"0.42501058093440086\", \"0.36102589069177426\"], \"12\": [\"0.9711902737617493\", \"0.9908370083094797\", \"1.0\", \"1.0\", \"0.9863688016034272\"], \"13\": [\"0.23076923191547394\", \"0.11476393079418745\", \"0.09815099548518265\", \"0.19980566651444903\", \"0.15410370371487533\"], \"14\": [\"0.25\", \"0.11420098878581014\", \"0.1947830477987602\", \"0.038946058819840895\", \"0.05101457301602234\"], \"15\": [\"0.23999999463558197\", \"0.28625162550535765\", \"0.2626801144440929\", \"0.3660402079938562\", \"0.42689276689148353\"], \"16\": [\"0.8599742650985718\", \"0.7952119566861008\", \"0.9666052223427791\", \"1.0\", \"0.92849883428478\"], \"17\": [\"0.1677442193031311\", \"0.38898343116511214\", \"0.6369642150629748\", \"0.7073790684844586\", \"0.6904527131837013\"], \"18\": [\"0.9758800268173218\", \"0.9553177954726394\", \"0.8628963285687872\", \"0.7474574504586908\", \"0.6540391465424891\"], \"19\": [\"0.27272728085517883\", \"0.20603300857497164\", \"0.20848797427350696\", \"0.2104853915245526\", \"0.0\"], \"20\": [\"0.2222222238779068\", \"0.18107109286527814\", \"0.16734524566711706\", \"0.178329300199284\", \"0.26294567869476443\"], \"21\": [\"0.2448979616165161\", \"0.40789726545792604\", \"0.3379377154393033\", \"0.27564844954977696\", \"0.35982916435740386\"], \"22\": [\"0.8962495923042297\", \"0.9935912007636766\", \"0.9394676184716995\", \"1.0\", \"0.9918041051132581\"], \"23\": [\"0.25106149911880493\", \"0.151893198656177\", \"0.11629980597598255\", \"0.1628295444835471\", \"0.2549227496216699\"], \"24\": [\"0.9737119078636169\", \"1.0\", \"0.9254323177149837\", \"1.0\", \"1.0\"], \"25\": [\"0.25\", \"0.2549913092889887\", \"0.3144884648049238\", \"0.20887493868305496\", \"0.16471153624165047\"], \"26\": [\"0.23529411852359772\", \"0.12709145739819877\", \"0.021812559034562723\", \"0.0\", \"0.04945846092622247\"], \"27\": [\"0.24242424964904785\", \"0.19529589269402667\", \"0.14297683063271366\", \"0.0\", \"0.06494932846777333\"], \"28\": [\"0.8791444897651672\", \"0.8248631747244952\", \"0.8200874333802807\", \"0.7757643509422949\", \"0.8376748758977903\"], \"29\": [\"0.1952195167541504\", \"0.3234275068723167\", \"0.1324381124929972\", \"0.0014905498601985312\", \"0.0\"]}"); // get max_n_evals from histories var history_data = []; for (let i = 0; i < histories[0].length; i++) { diff --git a/api/tutorials/nihcxr/cxr_classification.html b/api/tutorials/nihcxr/cxr_classification.html index 249e2963a..e2fbffe17 100644 --- a/api/tutorials/nihcxr/cxr_classification.html +++ b/api/tutorials/nihcxr/cxr_classification.html @@ -459,13 +459,13 @@

Model Creation

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+
@@ -539,19 +539,19 @@

Multilabel AUROC by Pathology and Sex

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@@ -609,61 +609,61 @@

Multilabel AUROC by Pathology and Age
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[8]:
@@ -717,9 +717,9 @@ 
Multilabel AUROC by Pathology and Age
-

diff --git a/api/tutorials/nihcxr/cxr_classification.ipynb b/api/tutorials/nihcxr/cxr_classification.ipynb index 9745f8a81..97095faae 100644 --- a/api/tutorials/nihcxr/cxr_classification.ipynb +++ b/api/tutorials/nihcxr/cxr_classification.ipynb @@ -24,10 +24,10 @@ "id": "fc1eb72a", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:50:18.753654Z", - "iopub.status.busy": "2024-06-20T20:50:18.752384Z", - "iopub.status.idle": "2024-06-20T20:50:32.635137Z", - "shell.execute_reply": "2024-06-20T20:50:32.633055Z" + "iopub.execute_input": "2024-06-21T16:47:06.995600Z", + "iopub.status.busy": "2024-06-21T16:47:06.994591Z", + "iopub.status.idle": "2024-06-21T16:47:22.774310Z", + "shell.execute_reply": "2024-06-21T16:47:22.772049Z" } }, "outputs": [], @@ -69,10 +69,10 @@ "id": "25c2a16f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T20:50:32.644400Z", - "iopub.status.busy": "2024-06-20T20:50:32.642700Z", - "iopub.status.idle": "2024-06-20T21:12:08.856142Z", - "shell.execute_reply": "2024-06-20T21:12:08.853959Z" + "iopub.execute_input": "2024-06-21T16:47:22.783539Z", + "iopub.status.busy": "2024-06-21T16:47:22.781581Z", + "iopub.status.idle": "2024-06-21T17:10:11.879923Z", + "shell.execute_reply": "2024-06-21T17:10:11.877712Z" }, "nbsphinx": "hidden" }, @@ -90,7 +90,11 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [03:47<00:00, 4.39 examples/s]" + "Flattening the indices: 100%|########| 1000/1000 [03:45<00:00, 4.43 examples/s]\r", + "Flattening the indices: 100%|########| 1000/1000 [03:45<00:00, 4.43 examples/s]\r\n", + "\r", + "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/400 [00:00 Patient Gender:M: 100%|###| 400/400 [00:00<00:00, 37012.92 examples/s]\r\n" + "Filter -> Patient Gender:M: 0%| | 0/400 [00:00 Patient Gender:M: 100%|###| 400/400 [00:00<00:00, 38335.65 examples/s]\r\n" ] }, { @@ -156,7 +153,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/400 [00:00 Patient Gender:F: 100%|###| 400/400 [00:00<00:00, 37449.98 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 400/400 [00:00<00:00, 38354.94 examples/s]\r\n" ] }, { @@ -164,8 +161,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 40137.84 examples/s]\r\n" + "Filter -> overall: 0%| | 0/400 [00:00 Patient Age:[19 - 35]: 0%| | 0/400 [00:00 Patient Age:[19 - 35]: 100%|#| 400/400 [00:00<00:00, 32939.13 examples\r\n" + "Filter -> overall: 100%|############| 400/400 [00:00<00:00, 42464.29 examples/s]\r\n" ] }, { @@ -182,8 +177,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]: 0%| | 0/400 [00:00 Patient Age:[35 - 65]: 100%|#| 400/400 [00:00<00:00, 34422.57 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 0%| | 0/400 [00:00 Patient Age:[65 - 100]: 0%| | 0/400 [00:00 Patient Age:[65 - 100]: 100%|#| 400/400 [00:00<00:00, 34234.33 example\r\n" + "Filter -> Patient Age:[19 - 35]: 100%|#| 400/400 [00:00<00:00, 33214.32 examples\r\n", + "\r", + "Filter -> Patient Age:[35 - 65]: 0%| | 0/400 [00:00 Patient Age:[35 - 65]: 100%|#| 400/400 [00:00<00:00, 34572.24 examples\r\n" ] }, { @@ -200,8 +196,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n" + "Filter -> Patient Age:[65 - 100]: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n", + "Filter -> Patient Age:[65 - 100]: 100%|#| 400/400 [00:00<00:00, 34842.92 example\r\n", "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n" + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n" ] }, { @@ -221,7 +215,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n" ] }, { @@ -229,10 +224,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n", - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00,\r\n" + "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00, \r\n" ] }, { @@ -240,8 +233,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00,\r\n" + "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00, \r\n" ] }, { @@ -249,8 +242,10 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 43093.64 examples/s]\r\n" + "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00,\r\n", + "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 400/400 [00:00<00:00,\r\n", + "\r", + "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 43431.66 examples/s]\r\n" ] }, { @@ -266,8 +264,7 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [03:48<00:00, 4.39 examples/s]\r", - "Flattening the indices: 100%|########| 1000/1000 [03:48<00:00, 4.39 examples/s]\r\n" + "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/396 [00:00 Patient Gender:M: 0%| | 0/396 [00:00 Patient Gender:M: 100%|###| 396/396 [00:00<00:00, 38167.71 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 396/396 [00:00<00:00, 37720.45 examples/s]\r\n" ] }, { @@ -329,7 +330,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/396 [00:00 Patient Gender:F: 100%|###| 396/396 [00:00<00:00, 39520.89 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 396/396 [00:00<00:00, 38572.79 examples/s]\r\n" ] }, { @@ -338,7 +339,7 @@ "text": [ "\r", "Filter -> overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 42626.57 examples/s]\r\n" + "Filter -> overall: 100%|############| 396/396 [00:00<00:00, 42358.06 examples/s]\r\n" ] }, { @@ -347,7 +348,7 @@ "text": [ "\r", "Filter -> Patient Age:[19 - 35]: 0%| | 0/396 [00:00 Patient Age:[19 - 35]: 100%|#| 396/396 [00:00<00:00, 33610.79 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 100%|#| 396/396 [00:00<00:00, 33261.46 examples\r\n" ] }, { @@ -356,7 +357,7 @@ "text": [ "\r", "Filter -> Patient Age:[35 - 65]: 0%| | 0/396 [00:00 Patient Age:[35 - 65]: 100%|#| 396/396 [00:00<00:00, 34563.40 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 100%|#| 396/396 [00:00<00:00, 34064.37 examples\r\n" ] }, { @@ -365,7 +366,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]: 0%| | 0/396 [00:00 Patient Age:[65 - 100]: 100%|#| 396/396 [00:00<00:00, 34806.77 example\r\n" + "Filter -> Patient Age:[65 - 100]: 100%|#| 396/396 [00:00<00:00, 34180.03 example\r\n" ] }, { @@ -374,7 +375,9 @@ "text": [ "\r", "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00, \r\n" + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00, \r\n", + "\r", + "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00, \r\n", "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00, \r\n" ] }, { @@ -393,9 +396,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00, \r\n", - "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00, \r\n" ] }, { @@ -403,20 +405,19 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00, \r\n", - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/396 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00,\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 396/396 [00:00<00:00,\r\n", "\r", "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/396 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00,\r\n" + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 396/396 [00:00<00:00,\r\n", + "\r", + "Filter -> overall: 0%| | 0/396 [00:00 overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 41916.58 examples/s]\r\n" + "Filter -> overall: 100%|############| 396/396 [00:00<00:00, 42384.00 examples/s]\r\n" ] }, { @@ -441,26 +441,28 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [03:44<00:00, 4.46 examples/s]\r", - "Flattening the indices: 100%|########| 1000/1000 [03:44<00:00, 4.46 examples/s]\r\n" + "Flattening the indices: 100%|########| 1000/1000 [03:44<00:00, 4.45 examples/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\r", + "Flattening the indices: 100%|########| 1000/1000 [03:44<00:00, 4.45 examples/s]\r\n", "\r", "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/383 [00:00 Patient Gender:M: 100%|###| 383/383 [00:00<00:00, 36911.34 examples/s]\r\n" + "Filter -> Patient Gender:M: 0%| | 0/383 [00:00 Patient Gender:M: 100%|###| 383/383 [00:00<00:00, 36583.51 examples/s]\r\n" ] }, { @@ -505,7 +506,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/383 [00:00 Patient Gender:F: 100%|###| 383/383 [00:00<00:00, 37704.04 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 383/383 [00:00<00:00, 37545.42 examples/s]\r\n" ] }, { @@ -514,7 +515,7 @@ "text": [ "\r", "Filter -> overall: 0%| | 0/383 [00:00 overall: 100%|############| 383/383 [00:00<00:00, 40850.84 examples/s]\r\n" + "Filter -> overall: 100%|############| 383/383 [00:00<00:00, 40889.31 examples/s]\r\n" ] }, { @@ -523,9 +524,7 @@ "text": [ "\r", "Filter -> Patient Age:[19 - 35]: 0%| | 0/383 [00:00 Patient Age:[19 - 35]: 100%|#| 383/383 [00:00<00:00, 32743.29 examples\r\n", - "\r", - "Filter -> Patient Age:[35 - 65]: 0%| | 0/383 [00:00 Patient Age:[19 - 35]: 100%|#| 383/383 [00:00<00:00, 32420.80 examples\r\n" ] }, { @@ -533,7 +532,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]: 100%|#| 383/383 [00:00<00:00, 33559.34 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 0%| | 0/383 [00:00 Patient Age:[35 - 65]: 100%|#| 383/383 [00:00<00:00, 33656.37 examples\r\n" ] }, { @@ -542,9 +542,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]: 0%| | 0/383 [00:00 Patient Age:[65 - 100]: 100%|#| 383/383 [00:00<00:00, 33904.99 example\r\n", - "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[65 - 100]: 100%|#| 383/383 [00:00<00:00, 33973.11 example\r\n" ] }, { @@ -552,16 +550,18 @@ "output_type": "stream", "text": [ "\r", + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00, \r\n", "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 383/383 [00:00<00:00, \r\n" + "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 383/383 [00:00<00:00, \r\n", "\r", "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00, \r\n" @@ -582,9 +582,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/383 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00,\r\n", - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 383/383 [00:00<00:00,\r\n" ] }, { @@ -592,10 +590,10 @@ "output_type": "stream", "text": [ "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/383 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 383/383 [00:00<00:00,\r\n", "\r", - "Filter -> overall: 0%| | 0/383 [00:00 overall: 100%|############| 383/383 [00:00<00:00, 41442.06 examples/s]\r\n" + "Filter -> overall: 0%| | 0/383 [00:00 overall: 100%|############| 383/383 [00:00<00:00, 41295.04 examples/s]\r\n" ] }, { @@ -611,7 +609,7 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [03:44<00:00, 4.46 examples/s]" + "Flattening the indices: 0%| | 0/1000 [00:00 Patient Gender:M: 0%| | 0/411 [00:00 Patient Gender:M: 100%|###| 411/411 [00:00<00:00, 39253.55 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 411/411 [00:00<00:00, 38288.41 examples/s]\r\n" ] }, { @@ -675,7 +674,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/411 [00:00 Patient Gender:F: 100%|###| 411/411 [00:00<00:00, 39939.27 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 411/411 [00:00<00:00, 39474.67 examples/s]\r\n" ] }, { @@ -683,8 +682,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 43544.99 examples/s]\r\n" + "Filter -> overall: 0%| | 0/411 [00:00 Patient Age:[19 - 35]: 0%| | 0/411 [00:00 Patient Age:[19 - 35]: 100%|#| 411/411 [00:00<00:00, 34321.36 examples\r\n" + "Filter -> overall: 100%|############| 411/411 [00:00<00:00, 42941.88 examples/s]\r\n" ] }, { @@ -701,8 +698,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]: 0%| | 0/411 [00:00 Patient Age:[35 - 65]: 100%|#| 411/411 [00:00<00:00, 35474.73 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 0%| | 0/411 [00:00 Patient Age:[65 - 100]: 0%| | 0/411 [00:00 Patient Age:[65 - 100]: 100%|#| 411/411 [00:00<00:00, 35495.91 example\r\n" + "Filter -> Patient Age:[19 - 35]: 100%|#| 411/411 [00:00<00:00, 33465.19 examples\r\n", + "\r", + "Filter -> Patient Age:[35 - 65]: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00, \r\n" + "Filter -> Patient Age:[35 - 65]: 100%|#| 411/411 [00:00<00:00, 34803.64 examples\r\n" ] }, { @@ -728,10 +724,10 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00, \r\n", + "Filter -> Patient Age:[65 - 100]: 0%| | 0/411 [00:00 Patient Age:[65 - 100]: 100%|#| 411/411 [00:00<00:00, 34960.33 example\r\n", "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00, \r\n", + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00, \r\n", "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[19 - 35]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00, \r\n" ] }, { @@ -749,9 +746,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00, \r\n", - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[35 - 65]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00, \r\n" ] }, { @@ -759,19 +755,29 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00,\r\n", + "Filter -> Patient Age:[35 - 65]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[35 - 65]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00, \r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00,\r\n" + "Filter -> Patient Age:[65 - 100]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 411/411 [00:00<00:00,\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "\r", + "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/411 [00:00 Patient Age:[65 - 100]&Patient Gender:F: 100%|#| 411/411 [00:00<00:00,\r\n", "\r", "Filter -> overall: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 44231.00 examples/s]\r\n" + "Filter -> overall: 100%|############| 411/411 [00:00<00:00, 43779.43 examples/s]\r\n" ] } ], @@ -819,10 +825,10 @@ "id": "03edf1c0", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:12:08.865617Z", - "iopub.status.busy": "2024-06-20T21:12:08.863871Z", - "iopub.status.idle": "2024-06-20T21:12:08.873290Z", - "shell.execute_reply": "2024-06-20T21:12:08.871737Z" + "iopub.execute_input": "2024-06-21T17:10:11.888882Z", + "iopub.status.busy": "2024-06-21T17:10:11.887410Z", + "iopub.status.idle": "2024-06-21T17:10:11.896657Z", + "shell.execute_reply": "2024-06-21T17:10:11.895020Z" } }, "outputs": [], @@ -844,10 +850,10 @@ "id": "6514120e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:12:08.880330Z", - "iopub.status.busy": "2024-06-20T21:12:08.879234Z", - "iopub.status.idle": "2024-06-20T21:12:27.136363Z", - "shell.execute_reply": "2024-06-20T21:12:27.134515Z" + "iopub.execute_input": "2024-06-21T17:10:11.903442Z", + "iopub.status.busy": "2024-06-21T17:10:11.902444Z", + "iopub.status.idle": "2024-06-21T17:10:30.713622Z", + "shell.execute_reply": "2024-06-21T17:10:30.711923Z" } }, "outputs": [], @@ -891,17 +897,17 @@ "id": "5f624ed4", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:12:27.144179Z", - "iopub.status.busy": "2024-06-20T21:12:27.143070Z", - "iopub.status.idle": "2024-06-20T21:12:57.917076Z", - "shell.execute_reply": "2024-06-20T21:12:57.915071Z" + "iopub.execute_input": "2024-06-21T17:10:30.721706Z", + "iopub.status.busy": "2024-06-21T17:10:30.720351Z", + "iopub.status.idle": "2024-06-21T17:11:08.734685Z", + "shell.execute_reply": "2024-06-21T17:11:08.732869Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "855d0607dc7e4f83a8807529e83f1156", + "model_id": "8f7ad764d9d0427cb103e923bdeee5d4", "version_major": 2, "version_minor": 0 }, @@ -915,7 +921,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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-
+
@@ -1302,7 +1302,7 @@

Graphics

-
+
@@ -1310,7 +1310,7 @@

Graphics

-
+
@@ -1318,7 +1318,7 @@

Graphics

-
+
@@ -1372,7 +1372,7 @@

Graphics

-
+
@@ -1428,7 +1428,7 @@

Version

- Date: 2024-06-20 + Date: 2024-06-21
@@ -1641,15 +1641,6 @@

Model Parameters

- - - - - -
-

Reg_lambda

- 1 -
@@ -1671,23 +1662,23 @@

Reg_lambda

-

Learning_rate

- 0.1 +

Max_depth

+ 2
+
+

Min_child_weight

+ 3 +
-
-

Missing

- nan -
@@ -1699,8 +1690,8 @@

Missing

-

Random_state

- 123 +

Missing

+ nan
@@ -1717,15 +1708,15 @@

Random_state

+
+

Random_state

+ 123 +
-
-

Max_depth

- 2 -
@@ -1736,6 +1727,10 @@

Max_depth

+
+

Eval_metric

+ logloss +
@@ -1747,8 +1742,8 @@

Max_depth

-

Enable_categorical

- False +

Seed

+ 123
@@ -1765,10 +1760,6 @@

Enable_categorical

-
-

Eval_metric

- logloss -
@@ -1780,8 +1771,8 @@

Eval_metric

-

N_estimators

- 500 +

Gamma

+ 2
@@ -1803,24 +1794,20 @@

N_estimators

+
+

Colsample_bytree

+ 1 +
-
-

Min_child_weight

- 3 -
-
-

Gamma

- 1 -
@@ -1851,29 +1838,33 @@

Gamma

+
+

Objective

+ binary:logistic +
-

Seed

- 123 +

Enable_categorical

+ False
-
-

Objective

- binary:logistic -
+
+

N_estimators

+ 500 +
@@ -1884,6 +1875,10 @@

Objective

+
+

Learning_rate

+ 0.1 +
@@ -1895,12 +1890,17 @@

Objective

-

Colsample_bytree

- 0.8 +

Reg_lambda

+ 0
+ + + + +
@@ -2267,9 +2267,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"6\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"11\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"12\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"16\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"17\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"18\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"21\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"22\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"23\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"24\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8086956739425659\", \"0.9842017728504882\", \"0.9366216021870774\", \"0.7688524787346596\", \"0.7403338975770879\"], \"1\": [\"0.9230769276618958\", \"0.9819051473161828\", \"1.0\", \"0.9259743284797759\", \"0.780102606429709\"], \"2\": [\"0.7272727489471436\", \"0.6039366655794228\", \"0.5610075764906365\", \"0.6112621320972232\", \"0.6452008604840157\"], \"3\": [\"0.8135592937469482\", \"0.6552612864253393\", \"0.5545265256923142\", \"0.44693181823684325\", \"0.47039317110650297\"], \"4\": [\"0.9094001650810242\", \"1.0\", \"1.0\", \"1.0\", \"0.8601374795162139\"], \"5\": [\"0.9272727370262146\", \"0.9331075662054832\", \"1.0\", \"1.0\", \"1.0\"], \"6\": [\"0.9629629850387573\", \"0.8021635016666527\", \"0.9154489296373335\", \"0.8906507063566338\", \"0.8486398469974479\"], \"7\": [\"0.8965517282485962\", \"0.9848658636023827\", \"1.0\", \"1.0\", \"0.8532959939875997\"], \"8\": [\"0.9285714030265808\", \"0.944742866012539\", \"0.8757651412116676\", \"0.7524253914839597\", \"0.5822633469454368\"], \"9\": [\"0.9933686852455139\", \"0.967491732749288\", \"1.0\", \"1.0\", \"1.0\"], \"10\": [\"0.8771929740905762\", \"0.993489996944394\", \"0.979258367667896\", \"0.9098220841436985\", \"0.6524806140831666\"], \"11\": [\"0.9558823704719543\", \"0.873900782576166\", \"0.9743479143769436\", \"0.7732691588911136\", \"0.8328247765926231\"], \"12\": [\"0.8552631735801697\", \"0.7437002816542072\", \"0.7229643484243043\", \"0.7134284270580619\", \"0.757941711253327\"], \"13\": [\"0.9027777910232544\", \"1.0\", \"1.0\", \"0.77935449973129\", \"0.8560201201405657\"], \"14\": [\"0.9551592469215393\", \"0.84873653439233\", \"0.9517545800794602\", \"1.0\", \"0.9470897296254891\"], \"15\": [\"0.8660714030265808\", \"0.75902960158563\", \"0.7183304975493893\", \"0.7133675527494796\", \"0.7412849459729292\"], \"16\": [\"0.921875\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.8550724387168884\", \"0.8933591458929786\", \"0.6869087169586281\", \"0.7670089007577021\", \"0.6878285006348895\"], \"18\": [\"0.8872180581092834\", \"1.0\", \"1.0\", \"0.976704448475514\", \"0.8272808340815739\"], \"19\": [\"0.9435456395149231\", \"1.0\", \"1.0\", \"0.8621358772454442\", \"1.0\"], \"20\": [\"0.8716813921928406\", \"0.7856470060191967\", \"0.772219052725249\", \"0.7808000598897828\", \"0.7241789218848285\"], \"21\": [\"0.939393937587738\", \"1.0\", \"1.0\", \"0.9854401152599215\", \"1.0\"], \"22\": [\"0.8551723957061768\", \"0.8765041795485397\", \"0.9984583108562095\", \"0.8129405896976964\", \"0.7361402507599708\"], \"23\": [\"0.8953068852424622\", \"0.8809919785422347\", \"0.9564843098132989\", \"1.0\", \"1.0\"], \"24\": [\"0.9502767324447632\", \"1.0\", \"1.0\", \"0.960840545332827\", \"1.0\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.8672566413879395\", \"0.7618308778581891\", \"0.8967490282964458\", \"1.0\", \"1.0\"], \"1\": [\"0.9811320900917053\", \"0.9387091126026369\", \"0.9818526288946645\", \"1.0\", \"1.0\"], \"2\": [\"0.7878788113594055\", \"0.7633945372413297\", \"0.8750662011713006\", \"0.9498491044022878\", \"0.9745927280941276\"], \"3\": [\"0.8739495873451233\", \"0.8534926271224396\", \"0.7015939770027526\", \"0.7578962645567294\", \"0.8260428443471749\"], \"4\": [\"0.9398775100708008\", \"0.8938637710441643\", \"0.9218103315530017\", \"0.9012270969411377\", \"1.0\"], \"5\": [\"0.8833333253860474\", \"0.8262460885530187\", \"0.8688878239343606\", \"0.8068052805921491\", \"0.763217269070366\"], \"6\": [\"0.8787878751754761\", \"0.9523782389679484\", \"0.8824731893637783\", \"1.0\", \"1.0\"], \"7\": [\"0.90625\", \"0.7609369117710781\", \"0.6822619650645729\", \"0.6785390567663255\", \"0.7733603178513184\"], \"8\": [\"0.892307698726654\", \"0.8559121964794224\", \"0.849817985845837\", \"0.8899712720776203\", \"0.7301103141885628\"], \"9\": [\"0.9453125\", \"1.0\", \"0.9509441618495162\", \"1.0\", \"0.9704805914638248\"], \"10\": [\"0.8962963223457336\", \"0.9204000445528819\", \"1.0\", \"1.0\", \"0.9474698475881934\"], \"11\": [\"0.987500011920929\", \"1.0\", \"1.0\", \"1.0\", \"0.978049553818923\"], \"12\": [\"0.8586956262588501\", \"0.8310454761720787\", \"0.7797799575230153\", \"1.0\", \"0.9920026538717778\"], \"13\": [\"0.9186046719551086\", \"0.8744389076710177\", \"0.7392147395272558\", \"0.7534268274401585\", \"0.8240160390974315\"], \"14\": [\"0.9713093638420105\", \"1.0\", \"0.9299067016833396\", \"1.0\", \"0.8896593557847327\"], \"15\": [\"0.8901098966598511\", \"0.8521992956842998\", \"0.8576731271949892\", \"0.8962998244027788\", \"0.9175072566408896\"], \"16\": [\"0.9056603908538818\", \"0.8739720086536201\", \"0.7166531211407887\", \"0.588003088592193\", \"0.4689910441157252\"], \"17\": [\"0.9056603908538818\", \"1.0\", \"1.0\", \"1.0\", \"0.9317593330753092\"], \"18\": [\"0.9056603908538818\", \"0.9962636660834352\", \"1.0\", \"0.955681113255703\", \"0.8430774777995611\"], \"19\": [\"0.9535749554634094\", \"1.0\", \"0.8978509947834294\", \"0.6267706335802222\", \"0.5802904576334186\"], \"20\": [\"0.8938053250312805\", \"0.9275458520764861\", \"0.889192115141699\", \"0.8361254321514165\", \"0.9481591401156031\"], \"21\": [\"0.9548872113227844\", \"0.8582210896493846\", \"0.7480214915091186\", \"0.746958190130181\", \"0.9282734808738122\"], \"22\": [\"0.8758620619773865\", \"0.7700110893216339\", \"0.7954232409608938\", \"0.8754541137239982\", \"0.9177898013116222\"], \"23\": [\"0.9136690497398376\", \"0.8609794311284222\", \"0.6343057759800192\", \"0.6506654274502984\", \"0.5989806068977589\"], \"24\": [\"0.9602809548377991\", \"0.7195789601491125\", \"0.712569096506767\", \"0.5107125061063884\", \"0.42039552049363826\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": false, \"3\": false, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": false, \"9\": true, \"10\": false, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": true, \"16\": true, \"17\": false, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": true, \"16\": false, \"17\": true, \"18\": true, \"19\": false, \"20\": true, \"21\": true, \"22\": true, \"23\": false, \"24\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"Accuracy\", \"6\": \"Precision\", \"7\": \"Recall\", \"8\": \"F1 Score\", \"9\": \"AUROC\", \"10\": \"Accuracy\", \"11\": \"Precision\", \"12\": \"Recall\", \"13\": \"F1 Score\", \"14\": \"AUROC\", \"15\": \"Accuracy\", \"16\": \"Precision\", \"17\": \"Recall\", \"18\": \"F1 Score\", \"19\": \"AUROC\", \"20\": \"Accuracy\", \"21\": \"Precision\", \"22\": \"Recall\", \"23\": \"F1 Score\", \"24\": \"AUROC\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2571,7 +2571,7 @@

Ethical Considerations

function generate_model_card_plot() { var model_card_plots = [] var overall_indices = [20, 21, 22, 23, 24] - var histories = JSON.parse("{\"0\": [\"0.8086956739425659\", \"0.9842017728504882\", \"0.9366216021870774\", \"0.7688524787346596\", \"0.7403338975770879\"], \"1\": [\"0.9230769276618958\", \"0.9819051473161828\", \"1.0\", \"0.9259743284797759\", \"0.780102606429709\"], \"2\": [\"0.7272727489471436\", \"0.6039366655794228\", \"0.5610075764906365\", \"0.6112621320972232\", \"0.6452008604840157\"], \"3\": [\"0.8135592937469482\", \"0.6552612864253393\", \"0.5545265256923142\", \"0.44693181823684325\", \"0.47039317110650297\"], \"4\": [\"0.9094001650810242\", \"1.0\", \"1.0\", \"1.0\", \"0.8601374795162139\"], \"5\": [\"0.9272727370262146\", \"0.9331075662054832\", \"1.0\", \"1.0\", \"1.0\"], \"6\": [\"0.9629629850387573\", \"0.8021635016666527\", \"0.9154489296373335\", \"0.8906507063566338\", \"0.8486398469974479\"], \"7\": [\"0.8965517282485962\", \"0.9848658636023827\", \"1.0\", \"1.0\", \"0.8532959939875997\"], \"8\": [\"0.9285714030265808\", \"0.944742866012539\", \"0.8757651412116676\", \"0.7524253914839597\", \"0.5822633469454368\"], \"9\": [\"0.9933686852455139\", \"0.967491732749288\", \"1.0\", \"1.0\", \"1.0\"], \"10\": [\"0.8771929740905762\", \"0.993489996944394\", \"0.979258367667896\", \"0.9098220841436985\", \"0.6524806140831666\"], \"11\": [\"0.9558823704719543\", \"0.873900782576166\", \"0.9743479143769436\", \"0.7732691588911136\", \"0.8328247765926231\"], \"12\": [\"0.8552631735801697\", \"0.7437002816542072\", \"0.7229643484243043\", \"0.7134284270580619\", \"0.757941711253327\"], \"13\": [\"0.9027777910232544\", \"1.0\", \"1.0\", \"0.77935449973129\", \"0.8560201201405657\"], \"14\": [\"0.9551592469215393\", \"0.84873653439233\", \"0.9517545800794602\", \"1.0\", \"0.9470897296254891\"], \"15\": [\"0.8660714030265808\", \"0.75902960158563\", \"0.7183304975493893\", \"0.7133675527494796\", \"0.7412849459729292\"], \"16\": [\"0.921875\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.8550724387168884\", \"0.8933591458929786\", \"0.6869087169586281\", \"0.7670089007577021\", \"0.6878285006348895\"], \"18\": [\"0.8872180581092834\", \"1.0\", \"1.0\", \"0.976704448475514\", \"0.8272808340815739\"], \"19\": [\"0.9435456395149231\", \"1.0\", \"1.0\", \"0.8621358772454442\", \"1.0\"], \"20\": [\"0.8716813921928406\", \"0.7856470060191967\", \"0.772219052725249\", \"0.7808000598897828\", \"0.7241789218848285\"], \"21\": [\"0.939393937587738\", \"1.0\", \"1.0\", \"0.9854401152599215\", \"1.0\"], \"22\": [\"0.8551723957061768\", \"0.8765041795485397\", \"0.9984583108562095\", \"0.8129405896976964\", \"0.7361402507599708\"], \"23\": [\"0.8953068852424622\", \"0.8809919785422347\", \"0.9564843098132989\", \"1.0\", \"1.0\"], \"24\": [\"0.9502767324447632\", \"1.0\", \"1.0\", \"0.960840545332827\", \"1.0\"]}"); + var histories = JSON.parse("{\"0\": [\"0.8672566413879395\", \"0.7618308778581891\", \"0.8967490282964458\", \"1.0\", \"1.0\"], \"1\": [\"0.9811320900917053\", \"0.9387091126026369\", \"0.9818526288946645\", \"1.0\", \"1.0\"], \"2\": [\"0.7878788113594055\", \"0.7633945372413297\", \"0.8750662011713006\", \"0.9498491044022878\", \"0.9745927280941276\"], \"3\": [\"0.8739495873451233\", \"0.8534926271224396\", \"0.7015939770027526\", \"0.7578962645567294\", \"0.8260428443471749\"], \"4\": [\"0.9398775100708008\", \"0.8938637710441643\", \"0.9218103315530017\", \"0.9012270969411377\", \"1.0\"], \"5\": [\"0.8833333253860474\", \"0.8262460885530187\", \"0.8688878239343606\", \"0.8068052805921491\", \"0.763217269070366\"], \"6\": [\"0.8787878751754761\", \"0.9523782389679484\", \"0.8824731893637783\", \"1.0\", \"1.0\"], \"7\": [\"0.90625\", \"0.7609369117710781\", \"0.6822619650645729\", \"0.6785390567663255\", \"0.7733603178513184\"], \"8\": [\"0.892307698726654\", \"0.8559121964794224\", \"0.849817985845837\", \"0.8899712720776203\", \"0.7301103141885628\"], \"9\": [\"0.9453125\", \"1.0\", \"0.9509441618495162\", \"1.0\", \"0.9704805914638248\"], \"10\": [\"0.8962963223457336\", \"0.9204000445528819\", \"1.0\", \"1.0\", \"0.9474698475881934\"], \"11\": [\"0.987500011920929\", \"1.0\", \"1.0\", \"1.0\", \"0.978049553818923\"], \"12\": [\"0.8586956262588501\", \"0.8310454761720787\", \"0.7797799575230153\", \"1.0\", \"0.9920026538717778\"], \"13\": [\"0.9186046719551086\", \"0.8744389076710177\", \"0.7392147395272558\", \"0.7534268274401585\", \"0.8240160390974315\"], \"14\": [\"0.9713093638420105\", \"1.0\", \"0.9299067016833396\", \"1.0\", \"0.8896593557847327\"], \"15\": [\"0.8901098966598511\", \"0.8521992956842998\", \"0.8576731271949892\", \"0.8962998244027788\", \"0.9175072566408896\"], \"16\": [\"0.9056603908538818\", \"0.8739720086536201\", \"0.7166531211407887\", \"0.588003088592193\", \"0.4689910441157252\"], \"17\": [\"0.9056603908538818\", \"1.0\", \"1.0\", \"1.0\", \"0.9317593330753092\"], \"18\": [\"0.9056603908538818\", \"0.9962636660834352\", \"1.0\", \"0.955681113255703\", \"0.8430774777995611\"], \"19\": [\"0.9535749554634094\", \"1.0\", \"0.8978509947834294\", \"0.6267706335802222\", \"0.5802904576334186\"], \"20\": [\"0.8938053250312805\", \"0.9275458520764861\", \"0.889192115141699\", \"0.8361254321514165\", \"0.9481591401156031\"], \"21\": [\"0.9548872113227844\", \"0.8582210896493846\", \"0.7480214915091186\", \"0.746958190130181\", \"0.9282734808738122\"], \"22\": [\"0.8758620619773865\", \"0.7700110893216339\", \"0.7954232409608938\", \"0.8754541137239982\", \"0.9177898013116222\"], \"23\": [\"0.9136690497398376\", \"0.8609794311284222\", \"0.6343057759800192\", \"0.6506654274502984\", \"0.5989806068977589\"], \"24\": [\"0.9602809548377991\", \"0.7195789601491125\", \"0.712569096506767\", \"0.5107125061063884\", \"0.42039552049363826\"]}"); var thresholds = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); var timestamps = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -2871,9 +2871,9 @@

Ethical Considerations

} } var slices_all = JSON.parse("{\"0\": [\"metric:Accuracy\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"1\": [\"metric:Precision\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"2\": [\"metric:Recall\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"3\": [\"metric:F1 Score\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"4\": [\"metric:AUROC\", \"age:[20 - 50)\", \"gender:overall_gender\"], \"5\": [\"metric:Accuracy\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"6\": [\"metric:Precision\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"7\": [\"metric:Recall\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"8\": [\"metric:F1 Score\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"9\": [\"metric:AUROC\", \"age:[50 - 80)\", \"gender:overall_gender\"], \"10\": [\"metric:Accuracy\", \"gender:M\", \"age:overall_age\"], \"11\": [\"metric:Precision\", \"gender:M\", \"age:overall_age\"], \"12\": [\"metric:Recall\", \"gender:M\", \"age:overall_age\"], \"13\": [\"metric:F1 Score\", \"gender:M\", \"age:overall_age\"], \"14\": [\"metric:AUROC\", \"gender:M\", \"age:overall_age\"], \"15\": [\"metric:Accuracy\", \"gender:F\", \"age:overall_age\"], \"16\": [\"metric:Precision\", \"gender:F\", \"age:overall_age\"], \"17\": [\"metric:Recall\", \"gender:F\", \"age:overall_age\"], \"18\": [\"metric:F1 Score\", \"gender:F\", \"age:overall_age\"], \"19\": [\"metric:AUROC\", \"gender:F\", \"age:overall_age\"], \"20\": [\"metric:Accuracy\", \"age:overall_age\", \"gender:overall_gender\"], \"21\": [\"metric:Precision\", \"age:overall_age\", \"gender:overall_gender\"], \"22\": [\"metric:Recall\", \"age:overall_age\", \"gender:overall_gender\"], \"23\": [\"metric:F1 Score\", \"age:overall_age\", \"gender:overall_gender\"], \"24\": [\"metric:AUROC\", \"age:overall_age\", \"gender:overall_gender\"]}"); - var histories_all = JSON.parse("{\"0\": [\"0.8086956739425659\", \"0.9842017728504882\", \"0.9366216021870774\", \"0.7688524787346596\", \"0.7403338975770879\"], \"1\": [\"0.9230769276618958\", \"0.9819051473161828\", \"1.0\", \"0.9259743284797759\", \"0.780102606429709\"], \"2\": [\"0.7272727489471436\", \"0.6039366655794228\", \"0.5610075764906365\", \"0.6112621320972232\", \"0.6452008604840157\"], \"3\": [\"0.8135592937469482\", \"0.6552612864253393\", \"0.5545265256923142\", \"0.44693181823684325\", \"0.47039317110650297\"], \"4\": [\"0.9094001650810242\", \"1.0\", \"1.0\", \"1.0\", \"0.8601374795162139\"], \"5\": [\"0.9272727370262146\", \"0.9331075662054832\", \"1.0\", \"1.0\", \"1.0\"], \"6\": [\"0.9629629850387573\", \"0.8021635016666527\", \"0.9154489296373335\", \"0.8906507063566338\", \"0.8486398469974479\"], \"7\": [\"0.8965517282485962\", \"0.9848658636023827\", \"1.0\", \"1.0\", \"0.8532959939875997\"], \"8\": [\"0.9285714030265808\", \"0.944742866012539\", \"0.8757651412116676\", \"0.7524253914839597\", \"0.5822633469454368\"], \"9\": [\"0.9933686852455139\", \"0.967491732749288\", \"1.0\", \"1.0\", \"1.0\"], \"10\": [\"0.8771929740905762\", \"0.993489996944394\", \"0.979258367667896\", \"0.9098220841436985\", \"0.6524806140831666\"], \"11\": [\"0.9558823704719543\", \"0.873900782576166\", \"0.9743479143769436\", \"0.7732691588911136\", \"0.8328247765926231\"], \"12\": [\"0.8552631735801697\", \"0.7437002816542072\", \"0.7229643484243043\", \"0.7134284270580619\", \"0.757941711253327\"], \"13\": [\"0.9027777910232544\", \"1.0\", \"1.0\", \"0.77935449973129\", \"0.8560201201405657\"], \"14\": [\"0.9551592469215393\", \"0.84873653439233\", \"0.9517545800794602\", \"1.0\", \"0.9470897296254891\"], \"15\": [\"0.8660714030265808\", \"0.75902960158563\", \"0.7183304975493893\", \"0.7133675527494796\", \"0.7412849459729292\"], \"16\": [\"0.921875\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.8550724387168884\", \"0.8933591458929786\", \"0.6869087169586281\", \"0.7670089007577021\", \"0.6878285006348895\"], \"18\": [\"0.8872180581092834\", \"1.0\", \"1.0\", \"0.976704448475514\", \"0.8272808340815739\"], \"19\": [\"0.9435456395149231\", \"1.0\", \"1.0\", \"0.8621358772454442\", \"1.0\"], \"20\": [\"0.8716813921928406\", \"0.7856470060191967\", \"0.772219052725249\", \"0.7808000598897828\", \"0.7241789218848285\"], \"21\": [\"0.939393937587738\", \"1.0\", \"1.0\", \"0.9854401152599215\", \"1.0\"], \"22\": [\"0.8551723957061768\", \"0.8765041795485397\", \"0.9984583108562095\", \"0.8129405896976964\", \"0.7361402507599708\"], \"23\": [\"0.8953068852424622\", \"0.8809919785422347\", \"0.9564843098132989\", \"1.0\", \"1.0\"], \"24\": [\"0.9502767324447632\", \"1.0\", \"1.0\", \"0.960840545332827\", \"1.0\"]}"); + var histories_all = JSON.parse("{\"0\": [\"0.8672566413879395\", \"0.7618308778581891\", \"0.8967490282964458\", \"1.0\", \"1.0\"], \"1\": [\"0.9811320900917053\", \"0.9387091126026369\", \"0.9818526288946645\", \"1.0\", \"1.0\"], \"2\": [\"0.7878788113594055\", \"0.7633945372413297\", \"0.8750662011713006\", \"0.9498491044022878\", \"0.9745927280941276\"], \"3\": [\"0.8739495873451233\", \"0.8534926271224396\", \"0.7015939770027526\", \"0.7578962645567294\", \"0.8260428443471749\"], \"4\": [\"0.9398775100708008\", \"0.8938637710441643\", \"0.9218103315530017\", \"0.9012270969411377\", \"1.0\"], \"5\": [\"0.8833333253860474\", \"0.8262460885530187\", \"0.8688878239343606\", \"0.8068052805921491\", \"0.763217269070366\"], \"6\": [\"0.8787878751754761\", \"0.9523782389679484\", \"0.8824731893637783\", \"1.0\", \"1.0\"], \"7\": [\"0.90625\", \"0.7609369117710781\", \"0.6822619650645729\", \"0.6785390567663255\", \"0.7733603178513184\"], \"8\": [\"0.892307698726654\", \"0.8559121964794224\", \"0.849817985845837\", \"0.8899712720776203\", \"0.7301103141885628\"], \"9\": [\"0.9453125\", \"1.0\", \"0.9509441618495162\", \"1.0\", \"0.9704805914638248\"], \"10\": [\"0.8962963223457336\", \"0.9204000445528819\", \"1.0\", \"1.0\", \"0.9474698475881934\"], \"11\": [\"0.987500011920929\", \"1.0\", \"1.0\", \"1.0\", \"0.978049553818923\"], \"12\": [\"0.8586956262588501\", \"0.8310454761720787\", \"0.7797799575230153\", \"1.0\", \"0.9920026538717778\"], \"13\": [\"0.9186046719551086\", \"0.8744389076710177\", \"0.7392147395272558\", \"0.7534268274401585\", \"0.8240160390974315\"], \"14\": [\"0.9713093638420105\", \"1.0\", \"0.9299067016833396\", \"1.0\", \"0.8896593557847327\"], \"15\": [\"0.8901098966598511\", \"0.8521992956842998\", \"0.8576731271949892\", \"0.8962998244027788\", \"0.9175072566408896\"], \"16\": [\"0.9056603908538818\", \"0.8739720086536201\", \"0.7166531211407887\", \"0.588003088592193\", \"0.4689910441157252\"], \"17\": [\"0.9056603908538818\", \"1.0\", \"1.0\", \"1.0\", \"0.9317593330753092\"], \"18\": [\"0.9056603908538818\", \"0.9962636660834352\", \"1.0\", \"0.955681113255703\", \"0.8430774777995611\"], \"19\": [\"0.9535749554634094\", \"1.0\", \"0.8978509947834294\", \"0.6267706335802222\", \"0.5802904576334186\"], \"20\": [\"0.8938053250312805\", \"0.9275458520764861\", \"0.889192115141699\", \"0.8361254321514165\", \"0.9481591401156031\"], \"21\": [\"0.9548872113227844\", \"0.8582210896493846\", \"0.7480214915091186\", \"0.746958190130181\", \"0.9282734808738122\"], \"22\": [\"0.8758620619773865\", \"0.7700110893216339\", \"0.7954232409608938\", \"0.8754541137239982\", \"0.9177898013116222\"], \"23\": [\"0.9136690497398376\", \"0.8609794311284222\", \"0.6343057759800192\", \"0.6506654274502984\", \"0.5989806068977589\"], \"24\": [\"0.9602809548377991\", \"0.7195789601491125\", \"0.712569096506767\", \"0.5107125061063884\", \"0.42039552049363826\"]}"); var thresholds_all = JSON.parse("{\"0\": \"0.7\", \"1\": \"0.7\", \"2\": \"0.7\", \"3\": \"0.7\", \"4\": \"0.7\", \"5\": \"0.7\", \"6\": \"0.7\", \"7\": \"0.7\", \"8\": \"0.7\", \"9\": \"0.7\", \"10\": \"0.7\", \"11\": \"0.7\", \"12\": \"0.7\", \"13\": \"0.7\", \"14\": \"0.7\", \"15\": \"0.7\", \"16\": \"0.7\", \"17\": \"0.7\", \"18\": \"0.7\", \"19\": \"0.7\", \"20\": \"0.7\", \"21\": \"0.7\", \"22\": \"0.7\", \"23\": \"0.7\", \"24\": \"0.7\"}"); - var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": false, \"3\": false, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": false, \"9\": true, \"10\": false, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": true, \"16\": true, \"17\": false, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); + var passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": true, \"3\": true, \"4\": true, \"5\": true, \"6\": true, \"7\": true, \"8\": true, \"9\": true, \"10\": true, \"11\": true, \"12\": true, \"13\": true, \"14\": true, \"15\": true, \"16\": false, \"17\": true, \"18\": true, \"19\": false, \"20\": true, \"21\": true, \"22\": true, \"23\": false, \"24\": false}"); var names_all = JSON.parse("{\"0\": \"Accuracy\", \"1\": \"Precision\", \"2\": \"Recall\", \"3\": \"F1 Score\", \"4\": \"AUROC\", \"5\": \"Accuracy\", \"6\": \"Precision\", \"7\": \"Recall\", \"8\": \"F1 Score\", \"9\": \"AUROC\", \"10\": \"Accuracy\", \"11\": \"Precision\", \"12\": \"Recall\", \"13\": \"F1 Score\", \"14\": \"AUROC\", \"15\": \"Accuracy\", \"16\": \"Precision\", \"17\": \"Recall\", \"18\": \"F1 Score\", \"19\": \"AUROC\", \"20\": \"Accuracy\", \"21\": \"Precision\", \"22\": \"Recall\", \"23\": \"F1 Score\", \"24\": \"AUROC\"}"); var timestamps_all = JSON.parse("{\"0\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"1\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"2\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"3\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"4\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"5\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"6\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"7\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"8\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"9\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"10\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"11\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"12\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"13\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"14\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"15\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"16\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"17\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"18\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"19\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"20\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"21\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"22\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"23\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"], \"24\": [\"2021-09-01\", \"2021-10-01\", \"2021-11-01\", \"2021-12-01\", \"2022-01-01\"]}"); @@ -3386,7 +3386,7 @@

Ethical Considerations

]; // create global variable for max_n_evals - var histories = JSON.parse("{\"0\": [\"0.8086956739425659\", \"0.9842017728504882\", \"0.9366216021870774\", \"0.7688524787346596\", \"0.7403338975770879\"], \"1\": [\"0.9230769276618958\", \"0.9819051473161828\", \"1.0\", \"0.9259743284797759\", \"0.780102606429709\"], \"2\": [\"0.7272727489471436\", \"0.6039366655794228\", \"0.5610075764906365\", \"0.6112621320972232\", \"0.6452008604840157\"], \"3\": [\"0.8135592937469482\", \"0.6552612864253393\", \"0.5545265256923142\", \"0.44693181823684325\", \"0.47039317110650297\"], \"4\": [\"0.9094001650810242\", \"1.0\", \"1.0\", \"1.0\", \"0.8601374795162139\"], \"5\": [\"0.9272727370262146\", \"0.9331075662054832\", \"1.0\", \"1.0\", \"1.0\"], \"6\": [\"0.9629629850387573\", \"0.8021635016666527\", \"0.9154489296373335\", \"0.8906507063566338\", \"0.8486398469974479\"], \"7\": [\"0.8965517282485962\", \"0.9848658636023827\", \"1.0\", \"1.0\", \"0.8532959939875997\"], \"8\": [\"0.9285714030265808\", \"0.944742866012539\", \"0.8757651412116676\", \"0.7524253914839597\", \"0.5822633469454368\"], \"9\": [\"0.9933686852455139\", \"0.967491732749288\", \"1.0\", \"1.0\", \"1.0\"], \"10\": [\"0.8771929740905762\", \"0.993489996944394\", \"0.979258367667896\", \"0.9098220841436985\", \"0.6524806140831666\"], \"11\": [\"0.9558823704719543\", \"0.873900782576166\", \"0.9743479143769436\", \"0.7732691588911136\", \"0.8328247765926231\"], \"12\": [\"0.8552631735801697\", \"0.7437002816542072\", \"0.7229643484243043\", \"0.7134284270580619\", \"0.757941711253327\"], \"13\": [\"0.9027777910232544\", \"1.0\", \"1.0\", \"0.77935449973129\", \"0.8560201201405657\"], \"14\": [\"0.9551592469215393\", \"0.84873653439233\", \"0.9517545800794602\", \"1.0\", \"0.9470897296254891\"], \"15\": [\"0.8660714030265808\", \"0.75902960158563\", \"0.7183304975493893\", \"0.7133675527494796\", \"0.7412849459729292\"], \"16\": [\"0.921875\", \"1.0\", \"1.0\", \"1.0\", \"1.0\"], \"17\": [\"0.8550724387168884\", \"0.8933591458929786\", \"0.6869087169586281\", \"0.7670089007577021\", \"0.6878285006348895\"], \"18\": [\"0.8872180581092834\", \"1.0\", \"1.0\", \"0.976704448475514\", \"0.8272808340815739\"], \"19\": [\"0.9435456395149231\", \"1.0\", \"1.0\", \"0.8621358772454442\", \"1.0\"], \"20\": [\"0.8716813921928406\", \"0.7856470060191967\", \"0.772219052725249\", \"0.7808000598897828\", \"0.7241789218848285\"], \"21\": [\"0.939393937587738\", \"1.0\", \"1.0\", \"0.9854401152599215\", \"1.0\"], \"22\": [\"0.8551723957061768\", \"0.8765041795485397\", \"0.9984583108562095\", \"0.8129405896976964\", \"0.7361402507599708\"], \"23\": [\"0.8953068852424622\", \"0.8809919785422347\", \"0.9564843098132989\", \"1.0\", \"1.0\"], \"24\": [\"0.9502767324447632\", \"1.0\", \"1.0\", \"0.960840545332827\", \"1.0\"]}"); + var histories = JSON.parse("{\"0\": [\"0.8672566413879395\", \"0.7618308778581891\", \"0.8967490282964458\", \"1.0\", \"1.0\"], \"1\": [\"0.9811320900917053\", \"0.9387091126026369\", \"0.9818526288946645\", \"1.0\", \"1.0\"], \"2\": [\"0.7878788113594055\", \"0.7633945372413297\", \"0.8750662011713006\", \"0.9498491044022878\", \"0.9745927280941276\"], \"3\": [\"0.8739495873451233\", \"0.8534926271224396\", \"0.7015939770027526\", \"0.7578962645567294\", \"0.8260428443471749\"], \"4\": [\"0.9398775100708008\", \"0.8938637710441643\", \"0.9218103315530017\", \"0.9012270969411377\", \"1.0\"], \"5\": [\"0.8833333253860474\", \"0.8262460885530187\", \"0.8688878239343606\", \"0.8068052805921491\", \"0.763217269070366\"], \"6\": [\"0.8787878751754761\", \"0.9523782389679484\", \"0.8824731893637783\", \"1.0\", \"1.0\"], \"7\": [\"0.90625\", \"0.7609369117710781\", \"0.6822619650645729\", \"0.6785390567663255\", \"0.7733603178513184\"], \"8\": [\"0.892307698726654\", \"0.8559121964794224\", \"0.849817985845837\", \"0.8899712720776203\", \"0.7301103141885628\"], \"9\": [\"0.9453125\", \"1.0\", \"0.9509441618495162\", \"1.0\", \"0.9704805914638248\"], \"10\": [\"0.8962963223457336\", \"0.9204000445528819\", \"1.0\", \"1.0\", \"0.9474698475881934\"], \"11\": [\"0.987500011920929\", \"1.0\", \"1.0\", \"1.0\", \"0.978049553818923\"], \"12\": [\"0.8586956262588501\", \"0.8310454761720787\", \"0.7797799575230153\", \"1.0\", \"0.9920026538717778\"], \"13\": [\"0.9186046719551086\", \"0.8744389076710177\", \"0.7392147395272558\", \"0.7534268274401585\", \"0.8240160390974315\"], \"14\": [\"0.9713093638420105\", \"1.0\", \"0.9299067016833396\", \"1.0\", \"0.8896593557847327\"], \"15\": [\"0.8901098966598511\", \"0.8521992956842998\", \"0.8576731271949892\", \"0.8962998244027788\", \"0.9175072566408896\"], \"16\": [\"0.9056603908538818\", \"0.8739720086536201\", \"0.7166531211407887\", \"0.588003088592193\", \"0.4689910441157252\"], \"17\": [\"0.9056603908538818\", \"1.0\", \"1.0\", \"1.0\", \"0.9317593330753092\"], \"18\": [\"0.9056603908538818\", \"0.9962636660834352\", \"1.0\", \"0.955681113255703\", \"0.8430774777995611\"], \"19\": [\"0.9535749554634094\", \"1.0\", \"0.8978509947834294\", \"0.6267706335802222\", \"0.5802904576334186\"], \"20\": [\"0.8938053250312805\", \"0.9275458520764861\", \"0.889192115141699\", \"0.8361254321514165\", \"0.9481591401156031\"], \"21\": [\"0.9548872113227844\", \"0.8582210896493846\", \"0.7480214915091186\", \"0.746958190130181\", \"0.9282734808738122\"], \"22\": [\"0.8758620619773865\", \"0.7700110893216339\", \"0.7954232409608938\", \"0.8754541137239982\", \"0.9177898013116222\"], \"23\": [\"0.9136690497398376\", \"0.8609794311284222\", \"0.6343057759800192\", \"0.6506654274502984\", \"0.5989806068977589\"], \"24\": [\"0.9602809548377991\", \"0.7195789601491125\", \"0.712569096506767\", \"0.5107125061063884\", \"0.42039552049363826\"]}"); // get max_n_evals from histories var history_data = []; for (let i = 0; i < histories[0].length; i++) { diff --git a/api/tutorials/synthea/los_prediction.html b/api/tutorials/synthea/los_prediction.html index 82281733b..3fa03e615 100644 --- a/api/tutorials/synthea/los_prediction.html +++ b/api/tutorials/synthea/los_prediction.html @@ -566,7 +566,7 @@

Compute length of stay (labels) 
-2024-06-20 17:13:33,380 INFO cycquery.orm    - Database setup, ready to run queries!
+2024-06-21 13:11:46,839 INFO cycquery.orm    - Database setup, ready to run queries!

@@ -574,7 +574,7 @@

Compute length of stay (labels) 
-2024-06-20 17:13:59,454 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 13:11:57,397 INFO cycquery.orm    - Query returned successfully!

@@ -582,7 +582,7 @@

Compute length of stay (labels) 
-2024-06-20 17:13:59,456 INFO cycquery.utils.profile - Finished executing function run_query in 24.960583 s
+2024-06-21 13:11:57,399 INFO cycquery.utils.profile - Finished executing function run_query in 9.433160 s

@@ -590,7 +590,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:04,485 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 13:12:02,439 INFO cycquery.orm    - Query returned successfully!

@@ -598,7 +598,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:04,486 INFO cycquery.utils.profile - Finished executing function run_query in 5.028043 s
+2024-06-21 13:12:02,442 INFO cycquery.utils.profile - Finished executing function run_query in 5.039974 s

@@ -606,7 +606,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:08,900 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 13:12:07,253 INFO cycquery.orm    - Query returned successfully!

@@ -614,7 +614,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:08,902 INFO cycquery.utils.profile - Finished executing function run_query in 0.404631 s
+2024-06-21 13:12:07,255 INFO cycquery.utils.profile - Finished executing function run_query in 0.767126 s

@@ -622,7 +622,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:09,358 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 13:12:07,689 INFO cycquery.orm    - Query returned successfully!

@@ -630,7 +630,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:09,359 INFO cycquery.utils.profile - Finished executing function run_query in 0.451983 s
+2024-06-21 13:12:07,691 INFO cycquery.utils.profile - Finished executing function run_query in 0.429645 s

@@ -638,7 +638,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:09,546 INFO cycquery.orm    - Query returned successfully!
+2024-06-21 13:12:07,885 INFO cycquery.orm    - Query returned successfully!

@@ -646,7 +646,7 @@

Compute length of stay (labels) 
-2024-06-20 17:14:09,548 INFO cycquery.utils.profile - Finished executing function run_query in 0.187197 s
+2024-06-21 13:12:07,887 INFO cycquery.utils.profile - Finished executing function run_query in 0.194311 s

@@ -699,9 +699,9 @@

Drop NaNs based on the
-
+
@@ -1263,7 +1263,7 @@

Training 
-2024-06-20 17:14:38,446 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 1
+2024-06-21 13:12:31,796 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
@@ -1271,7 +1271,7 @@

Training 

-2024-06-20 17:14:38,448 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
+2024-06-21 13:12:31,798 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
@@ -1279,7 +1279,7 @@

Training 

-2024-06-20 17:14:38,450 INFO cyclops.models.wrappers.sk_model - Best max_depth: 2
+2024-06-21 13:12:31,799 INFO cyclops.models.wrappers.sk_model - Best max_depth: 2
@@ -1287,7 +1287,7 @@

Training 

-2024-06-20 17:14:38,451 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-21 13:12:31,800 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
@@ -1295,7 +1295,7 @@

Training 

-2024-06-20 17:14:38,452 INFO cyclops.models.wrappers.sk_model - Best gamma: 1
+2024-06-21 13:12:31,802 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
@@ -1303,7 +1303,7 @@

Training 

-2024-06-20 17:14:38,453 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.8
+2024-06-21 13:12:31,803 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 1
@@ -1716,26 +1716,26 @@

Training background-color: var(--sklearn-color-fitted-level-3); } 
XGBClassifier(base_score=None, booster=None, callbacks=None,
-              colsample_bylevel=None, colsample_bynode=None,
-              colsample_bytree=0.8, early_stopping_rounds=None,
-              enable_categorical=False, eval_metric='logloss',
-              feature_types=None, gamma=1, gpu_id=None, grow_policy=None,
-              importance_type=None, interaction_constraints=None,
-              learning_rate=0.1, max_bin=None, max_cat_threshold=None,
-              max_cat_to_onehot=None, max_delta_step=None, max_depth=2,
-              max_leaves=None, min_child_weight=3, missing=nan,
-              monotone_constraints=None, n_estimators=500, n_jobs=None,
-              num_parallel_tree=None, predictor=None, random_state=123, ...)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

+ colsample_bylevel=None, colsample_bynode=None, colsample_bytree=1, + early_stopping_rounds=None, enable_categorical=False, + eval_metric='logloss', feature_types=None, gamma=2, gpu_id=None, + grow_policy=None, importance_type=None, + interaction_constraints=None, learning_rate=0.1, max_bin=None, + max_cat_threshold=None, max_cat_to_onehot=None, + max_delta_step=None, max_depth=2, max_leaves=None, + min_child_weight=3, missing=nan, monotone_constraints=None, + n_estimators=500, n_jobs=None, num_parallel_tree=None, + predictor=None, random_state=123, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org. 
[27]:
@@ -1751,7 +1751,7 @@ 
Training
 
-{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 0.8, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 1, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 2, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 500, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 1, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}
+{'objective': 'binary:logistic', 'use_label_encoder': None, 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': 'logloss', 'feature_types': None, 'gamma': 2, 'gpu_id': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.1, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 2, 'max_leaves': None, 'min_child_weight': 3, 'missing': nan, 'monotone_constraints': None, 'n_estimators': 500, 'n_jobs': None, 'num_parallel_tree': None, 'predictor': None, 'random_state': 123, 'reg_alpha': None, 'reg_lambda': 0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': None, 'tree_method': None, 'validate_parameters': None, 'verbosity': None, 'seed': 123}

Log the model parameters to the report.

@@ -1787,7 +1787,7 @@

Prediction

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Evaluation

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Log the performance metrics to the report.

We can add a performance metric to the model card using the log_performance_metric method, which expects a dictionary where the keys are in the following format: slice_name/metric_name. For instance, overall/accuracy.

@@ -2101,9 +2101,9 @@

Evaluation
-

diff --git a/api/tutorials/synthea/los_prediction.ipynb b/api/tutorials/synthea/los_prediction.ipynb index cef0c0629..a81eb2916 100644 --- a/api/tutorials/synthea/los_prediction.ipynb +++ b/api/tutorials/synthea/los_prediction.ipynb @@ -33,10 +33,10 @@ "id": "53009e6b", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:13:18.259762Z", - "iopub.status.busy": "2024-06-20T21:13:18.258849Z", - "iopub.status.idle": "2024-06-20T21:13:31.839407Z", - "shell.execute_reply": "2024-06-20T21:13:31.837250Z" + "iopub.execute_input": "2024-06-21T17:11:30.502511Z", + "iopub.status.busy": "2024-06-21T17:11:30.501613Z", + "iopub.status.idle": "2024-06-21T17:11:45.172529Z", + "shell.execute_reply": "2024-06-21T17:11:45.170518Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "afae58a8-5708-4e05-8695-25ba3ce1a71f", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:13:31.847780Z", - "iopub.status.busy": "2024-06-20T21:13:31.846455Z", - "iopub.status.idle": "2024-06-20T21:13:31.855177Z", - "shell.execute_reply": "2024-06-20T21:13:31.853467Z" + "iopub.execute_input": "2024-06-21T17:11:45.181249Z", + "iopub.status.busy": "2024-06-21T17:11:45.179391Z", + "iopub.status.idle": "2024-06-21T17:11:45.187692Z", + "shell.execute_reply": "2024-06-21T17:11:45.186060Z" }, "tags": [] }, @@ -123,10 +123,10 @@ "id": "739b109a-011b-4e6e-a3de-964edeffddbd", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:13:31.862120Z", - "iopub.status.busy": "2024-06-20T21:13:31.861090Z", - "iopub.status.idle": "2024-06-20T21:13:31.868894Z", - "shell.execute_reply": "2024-06-20T21:13:31.867203Z" + "iopub.execute_input": "2024-06-21T17:11:45.194393Z", + "iopub.status.busy": "2024-06-21T17:11:45.193427Z", + "iopub.status.idle": "2024-06-21T17:11:45.201017Z", + "shell.execute_reply": "2024-06-21T17:11:45.199401Z" }, "tags": [] }, @@ -157,10 +157,10 @@ "id": "e497df9f-0f3d-4e9c-845c-539627a37f67", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:13:31.875825Z", - "iopub.status.busy": "2024-06-20T21:13:31.875201Z", - "iopub.status.idle": "2024-06-20T21:14:09.660771Z", - "shell.execute_reply": "2024-06-20T21:14:09.659071Z" + "iopub.execute_input": "2024-06-21T17:11:45.207811Z", + "iopub.status.busy": "2024-06-21T17:11:45.207209Z", + "iopub.status.idle": "2024-06-21T17:12:07.966418Z", + "shell.execute_reply": "2024-06-21T17:12:07.964451Z" }, "tags": [] }, @@ -169,77 +169,77 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:13:33,380 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" + "2024-06-21 13:11:46,839 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:13:59,454 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 13:11:57,397 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:13:59,456 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 24.960583 s\n" + "2024-06-21 13:11:57,399 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 9.433160 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:04,485 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 13:12:02,439 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:04,486 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 5.028043 s\n" + "2024-06-21 13:12:02,442 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 5.039974 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:08,900 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 13:12:07,253 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:08,902 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.404631 s\n" + "2024-06-21 13:12:07,255 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.767126 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:09,358 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 13:12:07,689 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:09,359 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.451983 s\n" + "2024-06-21 13:12:07,691 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.429645 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:09,546 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-21 13:12:07,885 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-20 17:14:09,548 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.187197 s\n" + "2024-06-21 13:12:07,887 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.194311 s\n" ] } ], @@ -398,10 +398,10 @@ "id": "c576ee51-e825-4970-86e8-3e5f221f145c", "metadata": { "execution": { - "iopub.execute_input": "2024-06-20T21:14:09.668264Z", - "iopub.status.busy": "2024-06-20T21:14:09.667192Z", - "iopub.status.idle": "2024-06-20T21:14:09.875967Z", - "shell.execute_reply": "2024-06-20T21:14:09.874294Z" + "iopub.execute_input": "2024-06-21T17:12:07.974160Z", + "iopub.status.busy": "2024-06-21T17:12:07.973049Z", + "iopub.status.idle": "2024-06-21T17:12:08.184461Z", + "shell.execute_reply": "2024-06-21T17:12:08.182615Z" }, "tags": [] }, @@ -1497,9 +1497,9 @@ } }, "text/html": [ - "
- + +

CyclOps 0.2.0 release

· 4 min read
Carolyn Chong
Amrit Krishnan
diff --git a/blog/archive/index.html b/blog/archive/index.html index 2d2f4eb77..a1809ad5b 100644 --- a/blog/archive/index.html +++ b/blog/archive/index.html @@ -5,8 +5,8 @@ Archive | CyclOps - - + +

Archive

Archive

2023​

diff --git a/blog/index.html b/blog/index.html index b91951848..00f5fd17e 100644 --- a/blog/index.html +++ b/blog/index.html @@ -5,8 +5,8 @@ Blog | CyclOps - - + +

· 4 min read
Carolyn Chong
Amrit Krishnan
diff --git a/blog/tags/0-2-0/index.html b/blog/tags/0-2-0/index.html index 3d1f79c36..8f8640874 100644 --- a/blog/tags/0-2-0/index.html +++ b/blog/tags/0-2-0/index.html @@ -5,8 +5,8 @@ One post tagged with "0.2.0" | CyclOps - - + +

One post tagged with "0.2.0"

View All Tags

· 4 min read
Carolyn Chong
Amrit Krishnan
diff --git a/blog/tags/index.html b/blog/tags/index.html index bf8a403ff..6676ce496 100644 --- a/blog/tags/index.html +++ b/blog/tags/index.html @@ -5,8 +5,8 @@ Tags | CyclOps - - + +

Tags

diff --git a/docs/intro/index.html b/docs/intro/index.html index f4f2c5f6f..4b48cb1a6 100644 --- a/docs/intro/index.html +++ b/docs/intro/index.html @@ -5,8 +5,8 @@ intro | CyclOps - - + +

intro

Getting Started​

diff --git a/index.html b/index.html index bde056398..e7a2f4008 100644 --- a/index.html +++ b/index.html @@ -5,8 +5,8 @@ CyclOps | CyclOps - - + +

CyclOps

Cyclical development towards Operationalizing ML models for healthcare

Rigorous Evaluation

CyclOps APIs support rigorous evaluation across patient sub-populations

Monitoring

CyclOps supports monitoring of clinical ML models for performance degradation

diff --git a/markdown-page/index.html b/markdown-page/index.html index 27e007b41..6d4833ecd 100644 --- a/markdown-page/index.html +++ b/markdown-page/index.html @@ -5,8 +5,8 @@ Markdown page example | CyclOps - - + +

Markdown page example