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"2024-06-22T15:17:48.707095Z", + "shell.execute_reply": "2024-06-22T15:17:48.704988Z" } }, "outputs": [], @@ -43,10 +43,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-06-21T16:29:19.771795Z", - "iopub.status.busy": "2024-06-21T16:29:19.769755Z", - "iopub.status.idle": "2024-06-21T16:29:19.822098Z", - "shell.execute_reply": "2024-06-21T16:29:19.820330Z" + "iopub.execute_input": "2024-06-22T15:17:48.715745Z", + "iopub.status.busy": "2024-06-22T15:17:48.714169Z", + "iopub.status.idle": "2024-06-22T15:17:48.767397Z", + "shell.execute_reply": "2024-06-22T15:17:48.765706Z" } }, "outputs": [], @@ -69,10 +69,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-06-21T16:29:19.828950Z", - "iopub.status.busy": "2024-06-21T16:29:19.828266Z", - "iopub.status.idle": "2024-06-21T16:29:20.335816Z", - "shell.execute_reply": "2024-06-21T16:29:20.334024Z" + "iopub.execute_input": "2024-06-22T15:17:48.775077Z", + 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"iopub.status.idle": "2024-06-21T16:29:20.864650Z", - "shell.execute_reply": "2024-06-21T16:29:20.862938Z" + "iopub.execute_input": "2024-06-22T15:17:49.751603Z", + "iopub.status.busy": "2024-06-22T15:17:49.750607Z", + "iopub.status.idle": "2024-06-22T15:17:49.800417Z", + "shell.execute_reply": "2024-06-22T15:17:49.798711Z" } }, "outputs": [ @@ -711,10 +711,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-06-21T16:29:20.872075Z", - "iopub.status.busy": "2024-06-21T16:29:20.870811Z", - "iopub.status.idle": "2024-06-21T16:29:20.890947Z", - "shell.execute_reply": "2024-06-21T16:29:20.889195Z" + "iopub.execute_input": "2024-06-22T15:17:49.807382Z", + "iopub.status.busy": "2024-06-22T15:17:49.806373Z", + "iopub.status.idle": "2024-06-22T15:17:49.826591Z", + "shell.execute_reply": "2024-06-22T15:17:49.824964Z" } }, "outputs": [], @@ -767,10 +767,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": 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diff --git a/api/examples/report.ipynb b/api/examples/report.ipynb index e0277f739..d6e226a00 100644 --- a/api/examples/report.ipynb +++ b/api/examples/report.ipynb @@ -5,10 +5,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-06-21T16:29:37.987392Z", - "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" + "iopub.execute_input": "2024-06-22T15:18:05.429261Z", + "iopub.status.busy": "2024-06-22T15:18:05.428261Z", + "iopub.status.idle": "2024-06-22T15:18:17.810788Z", + "shell.execute_reply": "2024-06-22T15:18:17.808500Z" } }, "outputs": [], @@ -58,10 +58,10 @@ "execution_count": 2, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:18:17.820600Z", + "iopub.status.busy": "2024-06-22T15:18:17.818525Z", + "iopub.status.idle": "2024-06-22T15:18:17.827429Z", + "shell.execute_reply": "2024-06-22T15:18:17.825712Z" } }, "outputs": [], @@ -74,10 +74,10 @@ "execution_count": 3, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:18:17.834002Z", + "iopub.status.busy": "2024-06-22T15:18:17.833117Z", + "iopub.status.idle": "2024-06-22T15:18:17.840580Z", + "shell.execute_reply": "2024-06-22T15:18:17.838912Z" } }, "outputs": [], @@ -100,10 +100,10 @@ "execution_count": 4, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:18:17.847216Z", + "iopub.status.busy": "2024-06-22T15:18:17.846391Z", + "iopub.status.idle": "2024-06-22T15:18:18.611241Z", + "shell.execute_reply": "2024-06-22T15:18:18.609297Z" } }, "outputs": [], @@ -122,10 +122,10 @@ "execution_count": 5, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:18:18.619896Z", + "iopub.status.busy": "2024-06-22T15:18:18.618388Z", + "iopub.status.idle": "2024-06-22T15:18:18.690987Z", + "shell.execute_reply": "2024-06-22T15:18:18.689189Z" } }, "outputs": [ @@ -275,10 +275,10 @@ "execution_count": 6, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:18:18.698455Z", + "iopub.status.busy": "2024-06-22T15:18:18.697213Z", + "iopub.status.idle": "2024-06-22T15:18:18.767492Z", + "shell.execute_reply": "2024-06-22T15:18:18.765764Z" } }, "outputs": [ @@ -420,10 +420,10 @@ "execution_count": 7, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:18:18.775090Z", + "iopub.status.busy": "2024-06-22T15:18:18.773639Z", + "iopub.status.idle": "2024-06-22T15:18:19.477066Z", + "shell.execute_reply": "2024-06-22T15:18:19.475232Z" } }, "outputs": [ @@ -2230,9 +2230,9 @@ } }, "text/html": [ - "
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@@ -1269,7 +1276,7 @@

Training

-2024-06-21 12:37:10,437 INFO cyclops.models.wrappers.sk_model - Best scale_pos_weight: 9
+2024-06-22 11:26:08,664 INFO cyclops.models.wrappers.sk_model - Best scale_pos_weight: 9
 
@@ -1277,7 +1284,7 @@

Training

-2024-06-21 12:37:10,439 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-22 11:26:08,672 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 1
 
@@ -1285,7 +1292,7 @@

Training

-2024-06-21 12:37:10,440 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
+2024-06-22 11:26:08,674 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
 
@@ -1293,7 +1300,7 @@

Training

-2024-06-21 12:37:10,442 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
+2024-06-22 11:26:08,675 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
 
@@ -1301,7 +1308,7 @@

Training

-2024-06-21 12:37:10,443 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-22 11:26:08,676 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
 
@@ -1309,7 +1316,7 @@

Training

-2024-06-21 12:37:10,444 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
+2024-06-22 11:26:08,678 INFO cyclops.models.wrappers.sk_model - Best gamma: 0
 
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Training

-2024-06-21 12:37:10,445 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.8
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Evaluation
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diff --git a/api/tutorials/diabetes_130/readmission_prediction.ipynb b/api/tutorials/diabetes_130/readmission_prediction.ipynb index 865f43a32..0bd1acd38 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": "2024-06-21T16:30:34.435159Z", - "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" + "iopub.execute_input": "2024-06-22T15:19:01.761740Z", + "iopub.status.busy": "2024-06-22T15:19:01.760817Z", + "iopub.status.idle": "2024-06-22T15:19:26.514959Z", + "shell.execute_reply": "2024-06-22T15:19:26.512951Z" }, "tags": [] }, @@ -49,15 +49,15 @@ "Requirement already satisfied: kaleido==0.2.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (0.2.1)\r\n", "Requirement already satisfied: matplotlib<4.0.0,>=3.8.3 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (3.8.3)\r\n", "Requirement already satisfied: numpy<2.0.0,>=1.24.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (1.24.4)\r\n", - "Requirement already satisfied: pandas<3.0,>=2.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas[performance]<3.0,>=2.1->pycyclops) (2.1.4)\r\n", - "Requirement already satisfied: pillow<11.0.0,>=10.0.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (10.3.0)\r\n", - "Requirement already satisfied: plotly<6.0.0,>=5.7.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (5.18.0)\r\n" + "Requirement already satisfied: pandas<3.0,>=2.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas[performance]<3.0,>=2.1->pycyclops) (2.1.4)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ + "Requirement already satisfied: pillow<11.0.0,>=10.0.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (10.3.0)\r\n", + "Requirement already satisfied: plotly<6.0.0,>=5.7.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (5.18.0)\r\n", "Requirement already satisfied: psutil<6.0.0,>=5.9.4 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (5.9.7)\r\n", "Requirement already satisfied: pyarrow<15.0.0,>=14.0.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (14.0.2)\r\n", "Requirement already satisfied: pybtex<0.25.0,>=0.24.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pycyclops) (0.24.0)\r\n", @@ -112,7 +112,13 @@ "output_type": "stream", "text": [ "Requirement already satisfied: pytz>=2020.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas<3.0,>=2.1->pandas[performance]<3.0,>=2.1->pycyclops) (2023.3.post1)\r\n", - "Requirement already satisfied: tzdata>=2022.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas<3.0,>=2.1->pandas[performance]<3.0,>=2.1->pycyclops) (2023.3)\r\n", + "Requirement already satisfied: tzdata>=2022.1 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas<3.0,>=2.1->pandas[performance]<3.0,>=2.1->pycyclops) (2023.3)\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Requirement already satisfied: bottleneck>=1.3.4 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas[performance]<3.0,>=2.1->pycyclops) (1.3.8)\r\n", "Requirement already satisfied: numba>=0.55.2 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas[performance]<3.0,>=2.1->pycyclops) (0.57.1)\r\n", "Requirement already satisfied: numexpr>=2.8.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pandas[performance]<3.0,>=2.1->pycyclops) (2.10.0)\r\n" @@ -129,14 +135,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: latexcodec>=1.0.4 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pybtex<0.25.0,>=0.24.0->pycyclops) (2.0.1)\r\n" + "Requirement already satisfied: latexcodec>=1.0.4 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pybtex<0.25.0,>=0.24.0->pycyclops) (2.0.1)\r\n", + "Requirement already satisfied: six in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pybtex<0.25.0,>=0.24.0->pycyclops) (1.16.0)\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Requirement already satisfied: six in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pybtex<0.25.0,>=0.24.0->pycyclops) (1.16.0)\r\n", "Requirement already satisfied: typing-extensions>=4.2.0 in /mnt/data/actions_runners/cyclops-actions-runner-2/_work/cyclops/cyclops/.venv/lib/python3.10/site-packages (from pydantic<2.0.0,>=1.10.11->pycyclops) (4.9.0)\r\n" ] }, @@ -243,10 +249,10 @@ "execution_count": 2, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:26.523388Z", + "iopub.status.busy": "2024-06-22T15:19:26.522289Z", + "iopub.status.idle": "2024-06-22T15:19:39.450197Z", + "shell.execute_reply": "2024-06-22T15:19:39.448328Z" }, "tags": [] }, @@ -312,10 +318,10 @@ "execution_count": 3, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:39.458325Z", + "iopub.status.busy": "2024-06-22T15:19:39.457130Z", + "iopub.status.idle": "2024-06-22T15:19:39.465279Z", + "shell.execute_reply": "2024-06-22T15:19:39.463731Z" } }, "outputs": [], @@ -335,10 +341,10 @@ "execution_count": 4, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:39.471464Z", + "iopub.status.busy": "2024-06-22T15:19:39.470659Z", + "iopub.status.idle": "2024-06-22T15:19:39.478288Z", + "shell.execute_reply": "2024-06-22T15:19:39.476717Z" }, "tags": [] }, @@ -362,10 +368,10 @@ "execution_count": 5, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:39.484891Z", + "iopub.status.busy": "2024-06-22T15:19:39.483575Z", + "iopub.status.idle": "2024-06-22T15:19:44.031609Z", + "shell.execute_reply": "2024-06-22T15:19:44.029837Z" }, "tags": [] }, @@ -383,10 +389,10 @@ "execution_count": 6, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:44.039006Z", + "iopub.status.busy": "2024-06-22T15:19:44.038041Z", + "iopub.status.idle": "2024-06-22T15:19:44.060417Z", + "shell.execute_reply": "2024-06-22T15:19:44.058866Z" }, "tags": [] }, @@ -445,10 +451,10 @@ "execution_count": 7, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:44.067549Z", + "iopub.status.busy": "2024-06-22T15:19:44.066179Z", + "iopub.status.idle": "2024-06-22T15:19:44.277683Z", + "shell.execute_reply": "2024-06-22T15:19:44.276028Z" }, "tags": [] }, @@ -493,10 +499,10 @@ "execution_count": 8, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:44.285601Z", + "iopub.status.busy": "2024-06-22T15:19:44.284236Z", + "iopub.status.idle": "2024-06-22T15:19:44.294057Z", + "shell.execute_reply": "2024-06-22T15:19:44.292549Z" } }, "outputs": [], @@ -516,10 +522,10 @@ "execution_count": 9, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:44.301294Z", + "iopub.status.busy": "2024-06-22T15:19:44.299972Z", + "iopub.status.idle": "2024-06-22T15:19:44.366959Z", + "shell.execute_reply": "2024-06-22T15:19:44.365348Z" }, "tags": [] }, @@ -544,10 +550,10 @@ "execution_count": 10, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:19:44.374563Z", + "iopub.status.busy": "2024-06-22T15:19:44.373210Z", + "iopub.status.idle": "2024-06-22T15:19:45.038845Z", + "shell.execute_reply": "2024-06-22T15:19:45.037205Z" }, "tags": [] }, @@ -2437,9 +2443,9 @@ } }, "text/html": [ - "
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Training
-2024-06-21 12:38:04,978 INFO cyclops.models.wrappers.sk_model - Best alpha: 0.001
+2024-06-22 11:27:03,972 INFO cyclops.models.wrappers.sk_model - Best alpha: 0.001
 
-2024-06-21 12:38:04,980 INFO cyclops.models.wrappers.sk_model - Best eta0: 0.01
+2024-06-22 11:27:03,974 INFO cyclops.models.wrappers.sk_model - Best eta0: 0.01
 
-2024-06-21 12:38:04,982 INFO cyclops.models.wrappers.sk_model - Best learning_rate: adaptive
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Evaluation
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diff --git a/api/tutorials/kaggle/heart_failure_prediction.ipynb b/api/tutorials/kaggle/heart_failure_prediction.ipynb index fcd363080..6ce33bf55 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": "2024-06-21T16:37:26.838439Z", - "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" + "iopub.execute_input": "2024-06-22T15:26:25.690070Z", + "iopub.status.busy": "2024-06-22T15:26:25.689137Z", + "iopub.status.idle": "2024-06-22T15:26:40.872400Z", + "shell.execute_reply": "2024-06-22T15:26:40.870185Z" }, "tags": [] }, @@ -90,10 +90,10 @@ "execution_count": 2, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:26:40.881624Z", + "iopub.status.busy": "2024-06-22T15:26:40.880157Z", + "iopub.status.idle": "2024-06-22T15:26:40.889298Z", + "shell.execute_reply": "2024-06-22T15:26:40.887572Z" } }, "outputs": [], @@ -113,10 +113,10 @@ "execution_count": 3, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:26:40.896368Z", + "iopub.status.busy": "2024-06-22T15:26:40.895271Z", + "iopub.status.idle": "2024-06-22T15:26:40.903263Z", + "shell.execute_reply": "2024-06-22T15:26:40.901527Z" }, "tags": [] }, @@ -142,10 +142,10 @@ "execution_count": 4, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:26:40.910206Z", + "iopub.status.busy": "2024-06-22T15:26:40.909173Z", + "iopub.status.idle": "2024-06-22T15:26:41.317189Z", + "shell.execute_reply": "2024-06-22T15:26:41.315447Z" }, "tags": [] }, @@ -165,10 +165,10 @@ "execution_count": 5, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:26:41.324855Z", + "iopub.status.busy": "2024-06-22T15:26:41.323830Z", + "iopub.status.idle": "2024-06-22T15:26:41.384542Z", + "shell.execute_reply": "2024-06-22T15:26:41.382935Z" }, "tags": [] }, @@ -177,7 +177,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 12:37:42,429 \u001b[1;37mINFO\u001b[0m cyclops.utils.file - Loading DataFrame from ./data/heart.csv\n" + "2024-06-22 11:26:41,328 \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": "2024-06-21T16:37:42.492805Z", - "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" + "iopub.execute_input": "2024-06-22T15:26:41.391840Z", + "iopub.status.busy": "2024-06-22T15:26:41.390869Z", + "iopub.status.idle": "2024-06-22T15:26:42.116343Z", + "shell.execute_reply": "2024-06-22T15:26:42.114346Z" }, "tags": [] }, @@ -2044,9 +2044,9 @@ } }, "text/html": [ - "
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Warm_start

+ False
@@ -2218,8 +2222,8 @@

Max_iter

-

Fit_intercept

- True +

Penalty

+ l2
@@ -2227,8 +2231,8 @@

Fit_intercept

-

Epsilon

- 0.1 +

Loss

+ log_loss
@@ -2236,8 +2240,8 @@

Epsilon

-

Random_state

- 123 +

Power_t

+ 0.5
@@ -2245,8 +2249,8 @@

Random_state

-

L1_ratio

- 0.15 +

Early_stopping

+ True
@@ -2254,26 +2258,22 @@

L1_ratio

-

Early_stopping

- True +

Validation_fraction

+ 0.1
-
-

Alpha

- 0.001 -
-

Penalty

- l2 +

N_iter_no_change

+ 5
@@ -2281,8 +2281,8 @@

Penalty

-

Loss

- log_loss +

Tol

+ 0.001
diff --git a/api/tutorials/mimiciv/mortality_prediction.html b/api/tutorials/mimiciv/mortality_prediction.html index 39c8231b4..ba7ba5b02 100644 --- a/api/tutorials/mimiciv/mortality_prediction.html +++ b/api/tutorials/mimiciv/mortality_prediction.html @@ -603,7 +603,7 @@

Compute mortality (labels)
-2024-06-21 12:38:43,893 INFO cycquery.orm    - Database setup, ready to run queries!
+2024-06-22 11:27:44,063 INFO cycquery.orm    - Database setup, ready to run queries!
 
@@ -726,9 +726,9 @@

Drop NaNs based on the

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

Training
-2024-06-21 12:46:39,158 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-22 11:59:59,281 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 10
 
-2024-06-21 12:46:39,160 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
+2024-06-22 11:59:59,284 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 250
 
-2024-06-21 12:46:39,161 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
+2024-06-22 11:59:59,285 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
 
-2024-06-21 12:46:39,162 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-22 11:59:59,287 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
 
-2024-06-21 12:46:39,164 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
+2024-06-22 11:59:59,288 INFO cyclops.models.wrappers.sk_model - Best gamma: 1
 
-2024-06-21 12:46:39,165 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 0.8
+2024-06-22 11:59:59,289 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 1
 
@@ -1658,26 +1658,26 @@

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=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, ...)
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=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=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, ...)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.
-{'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}
+{'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': 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': 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': 10, '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

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

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 815e15278..4435e5438 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": "2024-06-21T16:38:27.276724Z", - "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" + "iopub.execute_input": "2024-06-22T15:27:26.283295Z", + "iopub.status.busy": "2024-06-22T15:27:26.282209Z", + "iopub.status.idle": "2024-06-22T15:27:41.442214Z", + "shell.execute_reply": "2024-06-22T15:27:41.439890Z" } }, "outputs": [], @@ -89,10 +89,10 @@ "execution_count": 2, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:27:41.451794Z", + "iopub.status.busy": "2024-06-22T15:27:41.449994Z", + "iopub.status.idle": "2024-06-22T15:27:41.459137Z", + "shell.execute_reply": "2024-06-22T15:27:41.457459Z" } }, "outputs": [], @@ -112,10 +112,10 @@ "execution_count": 3, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:27:41.465869Z", + "iopub.status.busy": "2024-06-22T15:27:41.465040Z", + "iopub.status.idle": "2024-06-22T15:27:41.473198Z", + "shell.execute_reply": "2024-06-22T15:27:41.471550Z" } }, "outputs": [], @@ -147,10 +147,10 @@ "execution_count": 4, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:27:41.480591Z", + "iopub.status.busy": "2024-06-22T15:27:41.479346Z", + "iopub.status.idle": "2024-06-22T15:34:38.662868Z", + "shell.execute_reply": "2024-06-22T15:34:38.660335Z" } }, "outputs": [ @@ -158,21 +158,21 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 12:38:43,893 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" + "2024-06-22 11:27:44,063 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 12:39:06,620 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 11:28:05,493 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 11:28:05,496 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 19.191247 s\n" ] }, { @@ -196,14 +196,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 12:41:53,915 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 11:30:49,671 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 11:30:49,673 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 161.002521 s\n" ] }, { @@ -406,10 +406,10 @@ "execution_count": 5, "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T15:34:38.672813Z", + "iopub.status.busy": "2024-06-22T15:34:38.671576Z", + "iopub.status.idle": "2024-06-22T15:34:39.085550Z", + "shell.execute_reply": "2024-06-22T15:34:39.083839Z" } }, "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": "2024-06-21T16:46:50.468545Z", - "iopub.status.busy": "2024-06-21T16:46:50.467447Z", - "iopub.status.idle": "2024-06-21T16:46:50.633200Z", - "shell.execute_reply": "2024-06-21T16:46:50.631381Z" - } - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "mode": "lines", - "name": "age:[20 - 50) (AUC = 0.30)", - "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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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\": [\"0.9953488111495972\", \"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 histories_all = JSON.parse("{\"0\": [\"0.9955621361732483\", \"1.0\", \"0.9090785186092738\", \"0.9335863596165629\", \"0.8186038363208302\"], \"1\": [\"1.0\", \"0.8456962509602705\", \"0.9355320907624267\", \"1.0\", \"0.9236438945572603\"], \"2\": [\"0.25\", \"0.30175867417868596\", \"0.4090271995112156\", \"0.642184940598215\", \"0.5625667826893166\"], \"3\": [\"0.4000000059604645\", \"0.469665571695541\", \"0.46555891294035706\", \"0.4246929861436543\", \"0.4764817145865098\"], \"4\": [\"0.9386160373687744\", \"0.9080135439423599\", \"0.718799557764541\", \"0.7718448217725096\", \"0.8908813868319999\"], \"5\": [\"0.3177526295185089\", \"0.4335309481655152\", \"0.4807214483612478\", \"0.4444917218015315\", \"0.5549339173062351\"], \"6\": [\"0.9685573577880859\", \"1.0\", \"0.8178219968390712\", \"0.7003549365904126\", \"0.6003240792292783\"], \"7\": [\"0.30000001192092896\", \"0.35909826175864534\", \"0.47348944179776753\", \"0.5569090961800103\", \"0.6604832940331692\"], \"8\": [\"0.34285715222358704\", \"0.37150638217185034\", \"0.2844859307436997\", \"0.27537346422318676\", \"0.37507420184202916\"], \"9\": [\"0.3199999928474426\", \"0.49736885117328794\", \"0.5623958932500298\", \"0.5664318809645187\", \"0.5967372035678011\"], \"10\": [\"0.8876226544380188\", \"0.8737110864533941\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.2625003457069397\", \"0.2108439609683797\", \"0.0856302249586883\", \"0.0\", \"0.029420203307738438\"], \"12\": [\"0.9683908224105835\", \"0.9497491944262126\", \"0.9844978426087068\", \"1.0\", \"1.0\"], \"13\": [\"0.25\", \"0.3762954716415773\", \"0.45456463582296663\", \"0.5339118438393122\", \"0.5069639029619843\"], \"14\": [\"0.3461538553237915\", \"0.4947142590995716\", \"0.6704204325189426\", \"0.43423251643343996\", \"0.33013811548328653\"], \"15\": [\"0.29032257199287415\", \"0.35936163576848845\", \"0.2716241704399406\", \"0.2873628724031001\", \"0.38412138680037927\"], \"16\": [\"0.8653283715248108\", \"0.7291528249452761\", \"0.7700926939846393\", \"0.8493640536679986\", \"0.8657139349432235\"], \"17\": [\"0.27834367752075195\", \"0.15908432828490746\", \"0.09953745722591939\", \"0.05865593901864767\", \"0.06450930931244318\"], \"18\": [\"0.9780972003936768\", \"0.7810265759607673\", \"0.6391780088514672\", \"0.4022863555958669\", \"0.3127863936260465\"], \"19\": [\"0.36000001430511475\", \"0.3972208850236971\", \"0.3631355792628282\", \"0.27886805399935\", \"0.1472883753069758\"], \"20\": [\"0.36000001430511475\", \"0.3463096235651758\", \"0.3282687398531431\", \"0.1909615411077286\", \"0.3170350839086391\"], \"21\": [\"0.36000001430511475\", \"0.37975933594401634\", \"0.3595360205520707\", \"0.33289765378650693\", \"0.33517848204054623\"], \"22\": [\"0.9137047529220581\", \"0.7762175331349029\", \"0.9065865605338307\", \"0.8949404254956155\", \"1.0\"], \"23\": [\"0.2226799726486206\", \"0.23475933338139618\", \"0.30145735120000094\", \"0.4760373158972946\", \"0.5733008455410238\"], \"24\": [\"0.9733613729476929\", \"1.0\", \"1.0\", \"1.0\", \"0.9458611099827602\"], \"25\": [\"0.2950819730758667\", \"0.17918503949614295\", \"0.16078404851913272\", \"0.2286724166660674\", \"0.33070381701707174\"], \"26\": [\"0.3529411852359772\", \"0.3284656940326658\", \"0.09462185151495309\", \"0.01763941619196635\", \"0.17240288369907394\"], \"27\": [\"0.3214285671710968\", \"0.36647245688435953\", \"0.4894612008120508\", \"0.2919148118470184\", \"0.16720726225318921\"], \"28\": [\"0.8884620666503906\", \"0.9653942632935267\", \"0.9927010081623271\", \"0.9495828470650614\", \"0.8467377469882281\"], \"29\": [\"0.2392815202474594\", \"0.20562696816732118\", \"0.2705518602353964\", \"0.18884185073779158\", \"0.0557719953685491\"]}"); 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\": 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 passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": false, \"3\": false, \"4\": true, \"5\": false, \"6\": false, \"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\": [\"0.9953488111495972\", \"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 histories = JSON.parse("{\"0\": [\"0.9955621361732483\", \"1.0\", \"0.9090785186092738\", \"0.9335863596165629\", \"0.8186038363208302\"], \"1\": [\"1.0\", \"0.8456962509602705\", \"0.9355320907624267\", \"1.0\", \"0.9236438945572603\"], \"2\": [\"0.25\", \"0.30175867417868596\", \"0.4090271995112156\", \"0.642184940598215\", \"0.5625667826893166\"], \"3\": [\"0.4000000059604645\", \"0.469665571695541\", \"0.46555891294035706\", \"0.4246929861436543\", \"0.4764817145865098\"], \"4\": [\"0.9386160373687744\", \"0.9080135439423599\", \"0.718799557764541\", \"0.7718448217725096\", \"0.8908813868319999\"], \"5\": [\"0.3177526295185089\", \"0.4335309481655152\", \"0.4807214483612478\", \"0.4444917218015315\", \"0.5549339173062351\"], \"6\": [\"0.9685573577880859\", \"1.0\", \"0.8178219968390712\", \"0.7003549365904126\", \"0.6003240792292783\"], \"7\": [\"0.30000001192092896\", \"0.35909826175864534\", \"0.47348944179776753\", \"0.5569090961800103\", \"0.6604832940331692\"], \"8\": [\"0.34285715222358704\", \"0.37150638217185034\", \"0.2844859307436997\", \"0.27537346422318676\", \"0.37507420184202916\"], \"9\": [\"0.3199999928474426\", \"0.49736885117328794\", \"0.5623958932500298\", \"0.5664318809645187\", \"0.5967372035678011\"], \"10\": [\"0.8876226544380188\", \"0.8737110864533941\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.2625003457069397\", \"0.2108439609683797\", \"0.0856302249586883\", \"0.0\", \"0.029420203307738438\"], \"12\": [\"0.9683908224105835\", \"0.9497491944262126\", \"0.9844978426087068\", \"1.0\", \"1.0\"], \"13\": [\"0.25\", \"0.3762954716415773\", \"0.45456463582296663\", \"0.5339118438393122\", \"0.5069639029619843\"], \"14\": [\"0.3461538553237915\", \"0.4947142590995716\", \"0.6704204325189426\", \"0.43423251643343996\", \"0.33013811548328653\"], \"15\": [\"0.29032257199287415\", \"0.35936163576848845\", \"0.2716241704399406\", \"0.2873628724031001\", \"0.38412138680037927\"], \"16\": [\"0.8653283715248108\", \"0.7291528249452761\", \"0.7700926939846393\", \"0.8493640536679986\", \"0.8657139349432235\"], \"17\": [\"0.27834367752075195\", \"0.15908432828490746\", \"0.09953745722591939\", \"0.05865593901864767\", \"0.06450930931244318\"], \"18\": [\"0.9780972003936768\", \"0.7810265759607673\", \"0.6391780088514672\", \"0.4022863555958669\", \"0.3127863936260465\"], \"19\": [\"0.36000001430511475\", \"0.3972208850236971\", \"0.3631355792628282\", \"0.27886805399935\", \"0.1472883753069758\"], \"20\": [\"0.36000001430511475\", \"0.3463096235651758\", \"0.3282687398531431\", \"0.1909615411077286\", \"0.3170350839086391\"], \"21\": [\"0.36000001430511475\", \"0.37975933594401634\", \"0.3595360205520707\", \"0.33289765378650693\", \"0.33517848204054623\"], \"22\": [\"0.9137047529220581\", \"0.7762175331349029\", \"0.9065865605338307\", \"0.8949404254956155\", \"1.0\"], \"23\": [\"0.2226799726486206\", \"0.23475933338139618\", \"0.30145735120000094\", \"0.4760373158972946\", \"0.5733008455410238\"], \"24\": [\"0.9733613729476929\", \"1.0\", \"1.0\", \"1.0\", \"0.9458611099827602\"], \"25\": [\"0.2950819730758667\", \"0.17918503949614295\", \"0.16078404851913272\", \"0.2286724166660674\", \"0.33070381701707174\"], \"26\": [\"0.3529411852359772\", \"0.3284656940326658\", \"0.09462185151495309\", \"0.01763941619196635\", \"0.17240288369907394\"], \"27\": [\"0.3214285671710968\", \"0.36647245688435953\", \"0.4894612008120508\", \"0.2919148118470184\", \"0.16720726225318921\"], \"28\": [\"0.8884620666503906\", \"0.9653942632935267\", \"0.9927010081623271\", \"0.9495828470650614\", \"0.8467377469882281\"], \"29\": [\"0.2392815202474594\", \"0.20562696816732118\", \"0.2705518602353964\", \"0.18884185073779158\", \"0.0557719953685491\"]}"); 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\": [\"0.9953488111495972\", \"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 histories_all = JSON.parse("{\"0\": [\"0.9955621361732483\", \"1.0\", \"0.9090785186092738\", \"0.9335863596165629\", \"0.8186038363208302\"], \"1\": [\"1.0\", \"0.8456962509602705\", \"0.9355320907624267\", \"1.0\", \"0.9236438945572603\"], \"2\": [\"0.25\", \"0.30175867417868596\", \"0.4090271995112156\", \"0.642184940598215\", \"0.5625667826893166\"], \"3\": [\"0.4000000059604645\", \"0.469665571695541\", \"0.46555891294035706\", \"0.4246929861436543\", \"0.4764817145865098\"], \"4\": [\"0.9386160373687744\", \"0.9080135439423599\", \"0.718799557764541\", \"0.7718448217725096\", \"0.8908813868319999\"], \"5\": [\"0.3177526295185089\", \"0.4335309481655152\", \"0.4807214483612478\", \"0.4444917218015315\", \"0.5549339173062351\"], \"6\": [\"0.9685573577880859\", \"1.0\", \"0.8178219968390712\", \"0.7003549365904126\", \"0.6003240792292783\"], \"7\": [\"0.30000001192092896\", \"0.35909826175864534\", \"0.47348944179776753\", \"0.5569090961800103\", \"0.6604832940331692\"], \"8\": [\"0.34285715222358704\", \"0.37150638217185034\", \"0.2844859307436997\", \"0.27537346422318676\", \"0.37507420184202916\"], \"9\": [\"0.3199999928474426\", \"0.49736885117328794\", \"0.5623958932500298\", \"0.5664318809645187\", \"0.5967372035678011\"], \"10\": [\"0.8876226544380188\", \"0.8737110864533941\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.2625003457069397\", \"0.2108439609683797\", \"0.0856302249586883\", \"0.0\", \"0.029420203307738438\"], \"12\": [\"0.9683908224105835\", \"0.9497491944262126\", \"0.9844978426087068\", \"1.0\", \"1.0\"], \"13\": [\"0.25\", \"0.3762954716415773\", \"0.45456463582296663\", \"0.5339118438393122\", \"0.5069639029619843\"], \"14\": [\"0.3461538553237915\", \"0.4947142590995716\", \"0.6704204325189426\", \"0.43423251643343996\", \"0.33013811548328653\"], \"15\": [\"0.29032257199287415\", \"0.35936163576848845\", \"0.2716241704399406\", \"0.2873628724031001\", \"0.38412138680037927\"], \"16\": [\"0.8653283715248108\", \"0.7291528249452761\", \"0.7700926939846393\", \"0.8493640536679986\", \"0.8657139349432235\"], \"17\": [\"0.27834367752075195\", \"0.15908432828490746\", \"0.09953745722591939\", \"0.05865593901864767\", \"0.06450930931244318\"], \"18\": [\"0.9780972003936768\", \"0.7810265759607673\", \"0.6391780088514672\", \"0.4022863555958669\", \"0.3127863936260465\"], \"19\": [\"0.36000001430511475\", \"0.3972208850236971\", \"0.3631355792628282\", \"0.27886805399935\", \"0.1472883753069758\"], \"20\": [\"0.36000001430511475\", \"0.3463096235651758\", \"0.3282687398531431\", \"0.1909615411077286\", \"0.3170350839086391\"], \"21\": [\"0.36000001430511475\", \"0.37975933594401634\", \"0.3595360205520707\", \"0.33289765378650693\", \"0.33517848204054623\"], \"22\": [\"0.9137047529220581\", \"0.7762175331349029\", \"0.9065865605338307\", \"0.8949404254956155\", \"1.0\"], \"23\": [\"0.2226799726486206\", \"0.23475933338139618\", \"0.30145735120000094\", \"0.4760373158972946\", \"0.5733008455410238\"], \"24\": [\"0.9733613729476929\", \"1.0\", \"1.0\", \"1.0\", \"0.9458611099827602\"], \"25\": [\"0.2950819730758667\", \"0.17918503949614295\", \"0.16078404851913272\", \"0.2286724166660674\", \"0.33070381701707174\"], \"26\": [\"0.3529411852359772\", \"0.3284656940326658\", \"0.09462185151495309\", \"0.01763941619196635\", \"0.17240288369907394\"], \"27\": [\"0.3214285671710968\", \"0.36647245688435953\", \"0.4894612008120508\", \"0.2919148118470184\", \"0.16720726225318921\"], \"28\": [\"0.8884620666503906\", \"0.9653942632935267\", \"0.9927010081623271\", \"0.9495828470650614\", \"0.8467377469882281\"], \"29\": [\"0.2392815202474594\", \"0.20562696816732118\", \"0.2705518602353964\", \"0.18884185073779158\", \"0.0557719953685491\"]}"); 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\": 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 passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": false, \"3\": false, \"4\": true, \"5\": false, \"6\": false, \"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\": [\"0.9953488111495972\", \"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 histories = JSON.parse("{\"0\": [\"0.9955621361732483\", \"1.0\", \"0.9090785186092738\", \"0.9335863596165629\", \"0.8186038363208302\"], \"1\": [\"1.0\", \"0.8456962509602705\", \"0.9355320907624267\", \"1.0\", \"0.9236438945572603\"], \"2\": [\"0.25\", \"0.30175867417868596\", \"0.4090271995112156\", \"0.642184940598215\", \"0.5625667826893166\"], \"3\": [\"0.4000000059604645\", \"0.469665571695541\", \"0.46555891294035706\", \"0.4246929861436543\", \"0.4764817145865098\"], \"4\": [\"0.9386160373687744\", \"0.9080135439423599\", \"0.718799557764541\", \"0.7718448217725096\", \"0.8908813868319999\"], \"5\": [\"0.3177526295185089\", \"0.4335309481655152\", \"0.4807214483612478\", \"0.4444917218015315\", \"0.5549339173062351\"], \"6\": [\"0.9685573577880859\", \"1.0\", \"0.8178219968390712\", \"0.7003549365904126\", \"0.6003240792292783\"], \"7\": [\"0.30000001192092896\", \"0.35909826175864534\", \"0.47348944179776753\", \"0.5569090961800103\", \"0.6604832940331692\"], \"8\": [\"0.34285715222358704\", \"0.37150638217185034\", \"0.2844859307436997\", \"0.27537346422318676\", \"0.37507420184202916\"], \"9\": [\"0.3199999928474426\", \"0.49736885117328794\", \"0.5623958932500298\", \"0.5664318809645187\", \"0.5967372035678011\"], \"10\": [\"0.8876226544380188\", \"0.8737110864533941\", \"1.0\", \"1.0\", \"1.0\"], \"11\": [\"0.2625003457069397\", \"0.2108439609683797\", \"0.0856302249586883\", \"0.0\", \"0.029420203307738438\"], \"12\": [\"0.9683908224105835\", \"0.9497491944262126\", \"0.9844978426087068\", \"1.0\", \"1.0\"], \"13\": [\"0.25\", \"0.3762954716415773\", \"0.45456463582296663\", \"0.5339118438393122\", \"0.5069639029619843\"], \"14\": [\"0.3461538553237915\", \"0.4947142590995716\", \"0.6704204325189426\", \"0.43423251643343996\", \"0.33013811548328653\"], \"15\": [\"0.29032257199287415\", \"0.35936163576848845\", \"0.2716241704399406\", \"0.2873628724031001\", \"0.38412138680037927\"], \"16\": [\"0.8653283715248108\", \"0.7291528249452761\", \"0.7700926939846393\", \"0.8493640536679986\", \"0.8657139349432235\"], \"17\": [\"0.27834367752075195\", \"0.15908432828490746\", \"0.09953745722591939\", \"0.05865593901864767\", \"0.06450930931244318\"], \"18\": [\"0.9780972003936768\", \"0.7810265759607673\", \"0.6391780088514672\", \"0.4022863555958669\", \"0.3127863936260465\"], \"19\": [\"0.36000001430511475\", \"0.3972208850236971\", \"0.3631355792628282\", \"0.27886805399935\", \"0.1472883753069758\"], \"20\": [\"0.36000001430511475\", \"0.3463096235651758\", \"0.3282687398531431\", \"0.1909615411077286\", \"0.3170350839086391\"], \"21\": [\"0.36000001430511475\", \"0.37975933594401634\", \"0.3595360205520707\", \"0.33289765378650693\", \"0.33517848204054623\"], \"22\": [\"0.9137047529220581\", \"0.7762175331349029\", \"0.9065865605338307\", \"0.8949404254956155\", \"1.0\"], \"23\": [\"0.2226799726486206\", \"0.23475933338139618\", \"0.30145735120000094\", \"0.4760373158972946\", \"0.5733008455410238\"], \"24\": [\"0.9733613729476929\", \"1.0\", \"1.0\", \"1.0\", \"0.9458611099827602\"], \"25\": [\"0.2950819730758667\", \"0.17918503949614295\", \"0.16078404851913272\", \"0.2286724166660674\", \"0.33070381701707174\"], \"26\": [\"0.3529411852359772\", \"0.3284656940326658\", \"0.09462185151495309\", \"0.01763941619196635\", \"0.17240288369907394\"], \"27\": [\"0.3214285671710968\", \"0.36647245688435953\", \"0.4894612008120508\", \"0.2919148118470184\", \"0.16720726225318921\"], \"28\": [\"0.8884620666503906\", \"0.9653942632935267\", \"0.9927010081623271\", \"0.9495828470650614\", \"0.8467377469882281\"], \"29\": [\"0.2392815202474594\", \"0.20562696816732118\", \"0.2705518602353964\", \"0.18884185073779158\", \"0.0557719953685491\"]}"); // 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 e2fbffe17..56d8f6a69 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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+
-
+
@@ -609,61 +609,61 @@

Multilabel AUROC by Pathology and Age
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diff --git a/api/tutorials/nihcxr/cxr_classification.ipynb b/api/tutorials/nihcxr/cxr_classification.ipynb index 97095faae..ba41cc047 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": "2024-06-21T16:47:06.995600Z", - "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" + "iopub.execute_input": "2024-06-22T16:00:27.238351Z", + "iopub.status.busy": "2024-06-22T16:00:27.237401Z", + "iopub.status.idle": "2024-06-22T16:00:44.821949Z", + "shell.execute_reply": "2024-06-22T16:00:44.819783Z" } }, "outputs": [], @@ -69,10 +69,10 @@ "id": "25c2a16f", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:00:44.831651Z", + "iopub.status.busy": "2024-06-22T16:00:44.829694Z", + "iopub.status.idle": "2024-06-22T16:25:39.118818Z", + "shell.execute_reply": "2024-06-22T16:25:39.116191Z" }, "nbsphinx": "hidden" }, @@ -90,11 +90,7 @@ "output_type": "stream", "text": [ "\r", - "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, 38335.65 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 400/400 [00:00<00:00, 37688.06 examples/s]\r\n" ] }, { @@ -152,14 +145,15 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Gender:F: 0%| | 0/400 [00:00 Patient Gender:F: 100%|###| 400/400 [00:00<00:00, 38354.94 examples/s]\r\n" + "Filter -> Patient Gender:F: 0%| | 0/400 [00:00 Patient Gender:F: 100%|###| 400/400 [00:00<00:00, 38576.29 examples/s]\r\n", "\r", "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 42464.29 examples/s]\r\n" + "Filter -> overall: 100%|############| 400/400 [00:00<00:00, 42130.52 examples/s]\r\n" ] }, { @@ -185,10 +179,9 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]: 100%|#| 400/400 [00:00<00:00, 33214.32 examples\r\n", + "Filter -> Patient Age:[19 - 35]: 100%|#| 400/400 [00:00<00:00, 32834.05 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" + "Filter -> Patient Age:[35 - 65]: 0%| | 0/400 [00:00 Patient Age:[65 - 100]: 0%| | 0/400 [00:00 Patient Age:[35 - 65]: 100%|#| 400/400 [00:00<00:00, 34363.35 examples\r\n" ] }, { @@ -204,16 +197,18 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[65 - 100]: 100%|#| 400/400 [00:00<00:00, 34842.92 example\r\n", + "Filter -> Patient Age:[65 - 100]: 0%| | 0/400 [00:00 Patient Age:[65 - 100]: 100%|#| 400/400 [00:00<00:00, 34578.65 example\r\n", "\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:[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", "\r", "Filter -> 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" @@ -243,9 +238,7 @@ "text": [ "\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", - "\r", - "Filter -> Patient Age:[65 - 100]&Patient Gender:F: 0%| | 0/400 [00:00 Patient Age:[65 - 100]&Patient Gender:M: 100%|#| 400/400 [00:00<00:00,\r\n" ] }, { @@ -253,10 +246,11 @@ "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", "\r", "Filter -> overall: 0%| | 0/400 [00:00 overall: 100%|############| 400/400 [00:00<00:00, 43431.66 examples/s]\r\n" + "Filter -> overall: 100%|############| 400/400 [00:00<00:00, 42743.41 examples/s]\r\n" ] }, { @@ -272,20 +266,27 @@ "output_type": "stream", "text": [ "\r", - "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%| | 0/396 [00:00 Patient Gender:M: 100%|###| 396/396 [00:00<00:00, 37720.45 examples/s]\r\n" + "Filter -> Patient Gender:M: 0%| | 0/396 [00:00 Patient Gender:M: 100%|###| 396/396 [00:00<00:00, 37165.91 examples/s]\r\n" ] }, { @@ -330,7 +330,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/396 [00:00 Patient Gender:F: 100%|###| 396/396 [00:00<00:00, 38572.79 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 396/396 [00:00<00:00, 38686.89 examples/s]\r\n" ] }, { @@ -338,8 +338,15 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 42358.06 examples/s]\r\n" + "Filter -> overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 41384.97 examples/s]\r\n" ] }, { @@ -347,17 +354,18 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]: 0%| | 0/396 [00:00 Patient Age:[19 - 35]: 100%|#| 396/396 [00:00<00:00, 33261.46 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 0%| | 0/396 [00:00 Patient Age:[19 - 35]: 100%|#| 396/396 [00:00<00:00, 32675.82 examples\r\n", "\r", "Filter -> Patient Age:[35 - 65]: 0%| | 0/396 [00:00 Patient Age:[35 - 65]: 100%|#| 396/396 [00:00<00:00, 34064.37 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 100%|#| 396/396 [00:00<00:00, 33872.63 examples\r\n" ] }, { @@ -366,7 +374,9 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]: 0%| | 0/396 [00:00 Patient Age:[65 - 100]: 100%|#| 396/396 [00:00<00:00, 34180.03 example\r\n" + "Filter -> Patient Age:[65 - 100]: 100%|#| 396/396 [00:00<00:00, 34197.62 example\r\n", + "\r", + "Filter -> Patient Age:[19 - 35]&Patient Gender:M: 0%| | 0/396 [00:00 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", "\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" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "\r", - "Filter -> 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: 100%|#| 396/396 [00:00<00:00, \r\n" @@ -406,7 +414,9 @@ "text": [ "\r", "Filter -> 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" + "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: 0%| | 0/396 [00:00 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: 100%|############| 396/396 [00:00<00:00, 42384.00 examples/s]\r\n" + "Filter -> overall: 0%| | 0/396 [00:00 overall: 100%|############| 396/396 [00:00<00:00, 42295.50 examples/s]\r\n" ] }, { @@ -441,28 +443,26 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [03:44<00:00, 4.45 examples/s]" + "Flattening the indices: 100%|########| 1000/1000 [04:28<00:00, 3.73 examples/s]\r", + "Flattening the indices: 100%|########| 1000/1000 [04:28<00:00, 3.73 examples/s]\r\n" ] }, { "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: 0%| | 0/383 [00:00 Patient Gender:M: 100%|###| 383/383 [00:00<00:00, 36583.51 examples/s]\r\n" + "Filter -> Patient Gender:M: 100%|###| 383/383 [00:00<00:00, 36019.16 examples/s]\r\n" ] }, { @@ -506,7 +507,7 @@ "text": [ "\r", "Filter -> Patient Gender:F: 0%| | 0/383 [00:00 Patient Gender:F: 100%|###| 383/383 [00:00<00:00, 37545.42 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 383/383 [00:00<00:00, 36299.96 examples/s]\r\n" ] }, { @@ -515,7 +516,7 @@ "text": [ "\r", "Filter -> overall: 0%| | 0/383 [00:00 overall: 100%|############| 383/383 [00:00<00:00, 40889.31 examples/s]\r\n" + "Filter -> overall: 100%|############| 383/383 [00:00<00:00, 39177.12 examples/s]\r\n" ] }, { @@ -524,7 +525,7 @@ "text": [ "\r", "Filter -> Patient Age:[19 - 35]: 0%| | 0/383 [00:00 Patient Age:[19 - 35]: 100%|#| 383/383 [00:00<00:00, 32420.80 examples\r\n" + "Filter -> Patient Age:[19 - 35]: 100%|#| 383/383 [00:00<00:00, 30874.26 examples\r\n" ] }, { @@ -533,7 +534,7 @@ "text": [ "\r", "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" + "Filter -> Patient Age:[35 - 65]: 100%|#| 383/383 [00:00<00:00, 31648.58 examples\r\n" ] }, { @@ -542,7 +543,7 @@ "text": [ "\r", "Filter -> Patient Age:[65 - 100]: 0%| | 0/383 [00:00 Patient Age:[65 - 100]: 100%|#| 383/383 [00:00<00:00, 33973.11 example\r\n" + "Filter -> Patient Age:[65 - 100]: 100%|#| 383/383 [00:00<00:00, 32017.59 example\r\n" ] }, { @@ -601,7 +602,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 100%|############| 383/383 [00:00<00:00, 41295.04 examples/s]\r\n" + "Filter -> overall: 100%|############| 383/383 [00:00<00:00, 40774.11 examples/s]\r\n" ] }, { @@ -617,11 +618,7 @@ "output_type": "stream", "text": [ "\r", - "Flattening the indices: 100%|########| 1000/1000 [03:51<00:00, 4.31 examples/s]\r", - "Flattening the indices: 100%|########| 1000/1000 [03:51<00:00, 4.31 examples/s]\r\n", - "\r", - "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, 38288.41 examples/s]\r\n" + "Map: 100%|############################| 411/411 [00:00<00:00, 657.43 examples/s]\r\n" ] }, { @@ -673,8 +672,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Gender:F: 0%| | 0/411 [00:00 Patient Gender:F: 100%|###| 411/411 [00:00<00:00, 39474.67 examples/s]\r\n" + "Filter -> Patient Gender:M: 0%| | 0/411 [00:00 Patient Gender:M: 100%|###| 411/411 [00:00<00:00, 37304.08 examples/s]\r\n" ] }, { @@ -682,7 +681,7 @@ "output_type": "stream", "text": [ "\r", - "Filter -> overall: 0%| | 0/411 [00:00 Patient Gender:F: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 42941.88 examples/s]\r\n" + "Filter -> Patient Gender:F: 100%|###| 411/411 [00:00<00:00, 37998.08 examples/s]\r\n" ] }, { @@ -698,7 +697,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[19 - 35]: 0%| | 0/411 [00:00 overall: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 42053.55 examples/s]\r\n" ] }, { @@ -706,9 +706,8 @@ "output_type": "stream", "text": [ "\r", - "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]: 0%| | 0/411 [00:00 Patient Age:[19 - 35]: 100%|#| 411/411 [00:00<00:00, 33298.41 examples\r\n" ] }, { @@ -716,7 +715,8 @@ "output_type": "stream", "text": [ "\r", - "Filter -> Patient Age:[35 - 65]: 100%|#| 411/411 [00:00<00:00, 34803.64 examples\r\n" + "Filter -> Patient Age:[35 - 65]: 0%| | 0/411 [00:00 Patient Age:[35 - 65]: 100%|#| 411/411 [00:00<00:00, 34794.50 examples\r\n" ] }, { @@ -725,9 +725,7 @@ "text": [ "\r", "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:[19 - 35]&Patient Gender:M: 0%| | 0/411 [00:00 Patient Age:[65 - 100]: 100%|#| 411/411 [00:00<00:00, 35477.65 example\r\n" ] }, { @@ -735,16 +733,18 @@ "output_type": "stream", "text": [ "\r", + "Filter -> 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", "\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:[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", "\r", "Filter -> 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" @@ -774,10 +774,16 @@ "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:F: 100%|#| 411/411 [00:00<00:00,\r\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", "Filter -> overall: 0%| | 0/411 [00:00 overall: 100%|############| 411/411 [00:00<00:00, 43779.43 examples/s]\r\n" + "Filter -> overall: 100%|############| 411/411 [00:00<00:00, 43252.18 examples/s]\r\n" ] } ], @@ -825,10 +831,10 @@ "id": "03edf1c0", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:25:39.130167Z", + "iopub.status.busy": "2024-06-22T16:25:39.129235Z", + "iopub.status.idle": "2024-06-22T16:25:39.140240Z", + "shell.execute_reply": "2024-06-22T16:25:39.138559Z" } }, "outputs": [], @@ -850,10 +856,10 @@ "id": "6514120e", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:25:39.147857Z", + "iopub.status.busy": "2024-06-22T16:25:39.146547Z", + "iopub.status.idle": "2024-06-22T16:25:57.984395Z", + "shell.execute_reply": "2024-06-22T16:25:57.982566Z" } }, "outputs": [], @@ -897,17 +903,17 @@ "id": "5f624ed4", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:25:57.993029Z", + "iopub.status.busy": "2024-06-22T16:25:57.991653Z", + "iopub.status.idle": "2024-06-22T16:26:30.306301Z", + "shell.execute_reply": "2024-06-22T16:26:30.304473Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8f7ad764d9d0427cb103e923bdeee5d4", + "model_id": "b4be5b94fd864deeb2be911cfe9d5a7e", "version_major": 2, "version_minor": 0 }, @@ -921,7 +927,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f175a524b0fe41e1afd690f29380e765", + "model_id": "32aa161426df498ab1f967cf5c98db8e", "version_major": 2, "version_minor": 0 }, @@ -981,17 +987,17 @@ "id": "bff27cc1", "metadata": { "execution": { - "iopub.execute_input": "2024-06-21T17:11:08.743827Z", - "iopub.status.busy": "2024-06-21T17:11:08.742703Z", - "iopub.status.idle": "2024-06-21T17:11:09.153369Z", - "shell.execute_reply": "2024-06-21T17:11:09.151698Z" + "iopub.execute_input": "2024-06-22T16:26:30.316608Z", + "iopub.status.busy": "2024-06-22T16:26:30.314872Z", + "iopub.status.idle": "2024-06-22T16:26:30.727004Z", + "shell.execute_reply": "2024-06-22T16:26:30.725270Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9e2dfc8f13bf4f8a917bdd11fe35a64d", + "model_id": "d96e4695e0234dba9f25ad4bb1aa77ee", "version_major": 2, "version_minor": 0 }, @@ -1005,7 +1011,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "83dc28ac8bdb4ea4b292a1a0d2cc6110", + "model_id": "2510e966a7f44b38a6c485826a278215", "version_major": 2, "version_minor": 0 }, @@ -1019,7 +1025,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6d116b685ba3462786b522564e753b8a", + "model_id": "33b4023253d74209b6afbc8b63ccfa1a", "version_major": 2, "version_minor": 0 }, @@ -1097,17 +1103,17 @@ "id": "8c38ef9e", "metadata": { "execution": { - "iopub.execute_input": "2024-06-21T17:11:09.160901Z", - "iopub.status.busy": "2024-06-21T17:11:09.159673Z", - "iopub.status.idle": "2024-06-21T17:11:10.069925Z", - "shell.execute_reply": "2024-06-21T17:11:10.068259Z" + "iopub.execute_input": "2024-06-22T16:26:30.735189Z", + "iopub.status.busy": "2024-06-22T16:26:30.733558Z", + "iopub.status.idle": "2024-06-22T16:26:31.649192Z", + "shell.execute_reply": "2024-06-22T16:26:31.647514Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d4191ea8222249af9abe9792974a7bc5", + "model_id": "df4ac7c8216c4e99b27e480150ddc404", "version_major": 2, "version_minor": 0 }, @@ -1121,7 +1127,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d546eb84acd64d729cb187866fe41f8d", + "model_id": "65700a86830a4cf2b6d93f71e899e85c", "version_major": 2, "version_minor": 0 }, @@ -1135,7 +1141,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7736b122478b4c75a0b039ed7adeabd0", + "model_id": "981174c528364edb933ff298a5c0c512", "version_major": 2, "version_minor": 0 }, @@ -1149,7 +1155,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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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\": [\"0.8672566413879395\", \"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 histories_all = JSON.parse("{\"0\": [\"0.84112149477005\", \"0.9817659303447434\", \"0.8950642140691593\", \"0.9047708858422704\", \"0.9240841660279289\"], \"1\": [\"0.9555555582046509\", \"0.7803277976883027\", \"0.8510041982062708\", \"0.9000723593017211\", \"1.0\"], \"2\": [\"0.7413793206214905\", \"0.6588479609880967\", \"0.6311668473050613\", \"0.6341035914470685\", \"0.6020137616707144\"], \"3\": [\"0.8349514603614807\", \"0.8228705446883667\", \"0.8012933855069491\", \"0.8956310859468717\", \"0.9361457686799274\"], \"4\": [\"0.9146727919578552\", \"1.0\", \"1.0\", \"0.8994298614947843\", \"0.8441834511034\"], \"5\": [\"0.8888888955116272\", \"0.8105073804259116\", \"0.9773840905602402\", \"1.0\", \"1.0\"], \"6\": [\"0.9354838728904724\", \"1.0\", \"0.8172363024977958\", \"0.7303185465744566\", \"0.5533207248029539\"], \"7\": [\"0.8787878751754761\", \"0.821455378488748\", \"0.7852847280257992\", \"0.9613709424345702\", \"0.9820705430287403\"], \"8\": [\"0.90625\", \"0.8539429816108812\", \"0.7742761725291468\", \"0.6906901181257419\", \"0.5999571024637336\"], \"9\": [\"0.9567099809646606\", \"0.9425927224290881\", \"0.8700307419709208\", \"0.8030962997928685\", \"0.8649263011547226\"], \"10\": [\"0.8595041036605835\", \"0.7275597396343939\", \"0.7629427420711723\", \"0.8236803124777468\", \"0.6506962436114708\"], \"11\": [\"0.9558823704719543\", \"1.0\", \"0.9221465628594138\", \"1.0\", \"1.0\"], \"12\": [\"0.8227847814559937\", \"0.9341788610689488\", \"0.8618731577217749\", \"0.7347607774140208\", \"0.683279423912476\"], \"13\": [\"0.884353756904602\", \"1.0\", \"0.9494260008024844\", \"1.0\", \"0.9898660938325575\"], \"14\": [\"0.9324895143508911\", \"0.8609609563845063\", \"0.7207129374666734\", \"0.5898612807913485\", \"0.5384402853377004\"], \"15\": [\"0.8857142925262451\", \"0.7349006063721182\", \"0.6458812985164686\", \"0.6791880905418182\", \"0.7876028555392535\"], \"16\": [\"0.9354838728904724\", \"0.7812222315260559\", \"0.90453748894957\", \"1.0\", \"1.0\"], \"17\": [\"0.8787878751754761\", \"0.9818774452647927\", \"0.9754831851056254\", \"0.9758186874660493\", \"0.9972650285407768\"], \"18\": [\"0.90625\", \"0.9550546650748263\", \"0.9606845503722818\", \"0.9137895285173488\", \"0.9738208933981543\"], \"19\": [\"0.9316239356994629\", \"0.9621875079156207\", \"0.8917392818528632\", \"0.7668191207702044\", \"0.7224465529863837\"], \"20\": [\"0.8716813921928406\", \"0.8975055201908481\", \"0.9371161142125217\", \"0.896289550180259\", \"0.8989754400984284\"], \"21\": [\"0.9461538195610046\", \"1.0\", \"0.9581686944948844\", \"0.9334275450453174\", \"0.804875830655667\"], \"22\": [\"0.8482758402824402\", \"0.7849792752853116\", \"0.7871072402207281\", \"0.850798012791235\", \"0.7500798466560521\"], \"23\": [\"0.8945454359054565\", \"0.8220115597957549\", \"0.8854937464247236\", \"0.9468292996157057\", \"0.882895949481078\"], \"24\": [\"0.932354211807251\", \"0.775022271848009\", \"0.7481924615850153\", \"0.7387783704247286\", \"0.7009866864848837\"]}"); 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\": 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 passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": false, \"3\": true, \"4\": true, \"5\": true, \"6\": false, \"7\": true, \"8\": false, \"9\": true, \"10\": false, \"11\": true, \"12\": false, \"13\": true, \"14\": false, \"15\": true, \"16\": true, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); 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\": [\"0.8672566413879395\", \"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 histories = JSON.parse("{\"0\": [\"0.84112149477005\", \"0.9817659303447434\", \"0.8950642140691593\", \"0.9047708858422704\", \"0.9240841660279289\"], \"1\": [\"0.9555555582046509\", \"0.7803277976883027\", \"0.8510041982062708\", \"0.9000723593017211\", \"1.0\"], \"2\": [\"0.7413793206214905\", \"0.6588479609880967\", \"0.6311668473050613\", \"0.6341035914470685\", \"0.6020137616707144\"], \"3\": [\"0.8349514603614807\", \"0.8228705446883667\", \"0.8012933855069491\", \"0.8956310859468717\", \"0.9361457686799274\"], \"4\": [\"0.9146727919578552\", \"1.0\", \"1.0\", \"0.8994298614947843\", \"0.8441834511034\"], \"5\": [\"0.8888888955116272\", \"0.8105073804259116\", \"0.9773840905602402\", \"1.0\", \"1.0\"], \"6\": [\"0.9354838728904724\", \"1.0\", \"0.8172363024977958\", \"0.7303185465744566\", \"0.5533207248029539\"], \"7\": [\"0.8787878751754761\", \"0.821455378488748\", \"0.7852847280257992\", \"0.9613709424345702\", \"0.9820705430287403\"], \"8\": [\"0.90625\", \"0.8539429816108812\", \"0.7742761725291468\", \"0.6906901181257419\", \"0.5999571024637336\"], \"9\": [\"0.9567099809646606\", \"0.9425927224290881\", \"0.8700307419709208\", \"0.8030962997928685\", \"0.8649263011547226\"], \"10\": [\"0.8595041036605835\", \"0.7275597396343939\", \"0.7629427420711723\", \"0.8236803124777468\", \"0.6506962436114708\"], \"11\": [\"0.9558823704719543\", \"1.0\", \"0.9221465628594138\", \"1.0\", \"1.0\"], \"12\": [\"0.8227847814559937\", \"0.9341788610689488\", \"0.8618731577217749\", \"0.7347607774140208\", \"0.683279423912476\"], \"13\": [\"0.884353756904602\", \"1.0\", \"0.9494260008024844\", \"1.0\", \"0.9898660938325575\"], \"14\": [\"0.9324895143508911\", \"0.8609609563845063\", \"0.7207129374666734\", \"0.5898612807913485\", \"0.5384402853377004\"], \"15\": [\"0.8857142925262451\", \"0.7349006063721182\", \"0.6458812985164686\", \"0.6791880905418182\", \"0.7876028555392535\"], \"16\": [\"0.9354838728904724\", \"0.7812222315260559\", \"0.90453748894957\", \"1.0\", \"1.0\"], \"17\": [\"0.8787878751754761\", \"0.9818774452647927\", \"0.9754831851056254\", \"0.9758186874660493\", \"0.9972650285407768\"], \"18\": [\"0.90625\", \"0.9550546650748263\", \"0.9606845503722818\", \"0.9137895285173488\", \"0.9738208933981543\"], \"19\": [\"0.9316239356994629\", \"0.9621875079156207\", \"0.8917392818528632\", \"0.7668191207702044\", \"0.7224465529863837\"], \"20\": [\"0.8716813921928406\", \"0.8975055201908481\", \"0.9371161142125217\", \"0.896289550180259\", \"0.8989754400984284\"], \"21\": [\"0.9461538195610046\", \"1.0\", \"0.9581686944948844\", \"0.9334275450453174\", \"0.804875830655667\"], \"22\": [\"0.8482758402824402\", \"0.7849792752853116\", \"0.7871072402207281\", \"0.850798012791235\", \"0.7500798466560521\"], \"23\": [\"0.8945454359054565\", \"0.8220115597957549\", \"0.8854937464247236\", \"0.9468292996157057\", \"0.882895949481078\"], \"24\": [\"0.932354211807251\", \"0.775022271848009\", \"0.7481924615850153\", \"0.7387783704247286\", \"0.7009866864848837\"]}"); 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\": [\"0.8672566413879395\", \"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 histories_all = JSON.parse("{\"0\": [\"0.84112149477005\", \"0.9817659303447434\", \"0.8950642140691593\", \"0.9047708858422704\", \"0.9240841660279289\"], \"1\": [\"0.9555555582046509\", \"0.7803277976883027\", \"0.8510041982062708\", \"0.9000723593017211\", \"1.0\"], \"2\": [\"0.7413793206214905\", \"0.6588479609880967\", \"0.6311668473050613\", \"0.6341035914470685\", \"0.6020137616707144\"], \"3\": [\"0.8349514603614807\", \"0.8228705446883667\", \"0.8012933855069491\", \"0.8956310859468717\", \"0.9361457686799274\"], \"4\": [\"0.9146727919578552\", \"1.0\", \"1.0\", \"0.8994298614947843\", \"0.8441834511034\"], \"5\": [\"0.8888888955116272\", \"0.8105073804259116\", \"0.9773840905602402\", \"1.0\", \"1.0\"], \"6\": [\"0.9354838728904724\", \"1.0\", \"0.8172363024977958\", \"0.7303185465744566\", \"0.5533207248029539\"], \"7\": [\"0.8787878751754761\", \"0.821455378488748\", \"0.7852847280257992\", \"0.9613709424345702\", \"0.9820705430287403\"], \"8\": [\"0.90625\", \"0.8539429816108812\", \"0.7742761725291468\", \"0.6906901181257419\", \"0.5999571024637336\"], \"9\": [\"0.9567099809646606\", \"0.9425927224290881\", \"0.8700307419709208\", \"0.8030962997928685\", \"0.8649263011547226\"], \"10\": [\"0.8595041036605835\", \"0.7275597396343939\", \"0.7629427420711723\", \"0.8236803124777468\", \"0.6506962436114708\"], \"11\": [\"0.9558823704719543\", \"1.0\", \"0.9221465628594138\", \"1.0\", \"1.0\"], \"12\": [\"0.8227847814559937\", \"0.9341788610689488\", \"0.8618731577217749\", \"0.7347607774140208\", \"0.683279423912476\"], \"13\": [\"0.884353756904602\", \"1.0\", \"0.9494260008024844\", \"1.0\", \"0.9898660938325575\"], \"14\": [\"0.9324895143508911\", \"0.8609609563845063\", \"0.7207129374666734\", \"0.5898612807913485\", \"0.5384402853377004\"], \"15\": [\"0.8857142925262451\", \"0.7349006063721182\", \"0.6458812985164686\", \"0.6791880905418182\", \"0.7876028555392535\"], \"16\": [\"0.9354838728904724\", \"0.7812222315260559\", \"0.90453748894957\", \"1.0\", \"1.0\"], \"17\": [\"0.8787878751754761\", \"0.9818774452647927\", \"0.9754831851056254\", \"0.9758186874660493\", \"0.9972650285407768\"], \"18\": [\"0.90625\", \"0.9550546650748263\", \"0.9606845503722818\", \"0.9137895285173488\", \"0.9738208933981543\"], \"19\": [\"0.9316239356994629\", \"0.9621875079156207\", \"0.8917392818528632\", \"0.7668191207702044\", \"0.7224465529863837\"], \"20\": [\"0.8716813921928406\", \"0.8975055201908481\", \"0.9371161142125217\", \"0.896289550180259\", \"0.8989754400984284\"], \"21\": [\"0.9461538195610046\", \"1.0\", \"0.9581686944948844\", \"0.9334275450453174\", \"0.804875830655667\"], \"22\": [\"0.8482758402824402\", \"0.7849792752853116\", \"0.7871072402207281\", \"0.850798012791235\", \"0.7500798466560521\"], \"23\": [\"0.8945454359054565\", \"0.8220115597957549\", \"0.8854937464247236\", \"0.9468292996157057\", \"0.882895949481078\"], \"24\": [\"0.932354211807251\", \"0.775022271848009\", \"0.7481924615850153\", \"0.7387783704247286\", \"0.7009866864848837\"]}"); 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\": 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 passed_all = JSON.parse("{\"0\": true, \"1\": true, \"2\": false, \"3\": true, \"4\": true, \"5\": true, \"6\": false, \"7\": true, \"8\": false, \"9\": true, \"10\": false, \"11\": true, \"12\": false, \"13\": true, \"14\": false, \"15\": true, \"16\": true, \"17\": true, \"18\": true, \"19\": true, \"20\": true, \"21\": true, \"22\": true, \"23\": true, \"24\": true}"); 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\": [\"0.8672566413879395\", \"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 histories = JSON.parse("{\"0\": [\"0.84112149477005\", \"0.9817659303447434\", \"0.8950642140691593\", \"0.9047708858422704\", \"0.9240841660279289\"], \"1\": [\"0.9555555582046509\", \"0.7803277976883027\", \"0.8510041982062708\", \"0.9000723593017211\", \"1.0\"], \"2\": [\"0.7413793206214905\", \"0.6588479609880967\", \"0.6311668473050613\", \"0.6341035914470685\", \"0.6020137616707144\"], \"3\": [\"0.8349514603614807\", \"0.8228705446883667\", \"0.8012933855069491\", \"0.8956310859468717\", \"0.9361457686799274\"], \"4\": [\"0.9146727919578552\", \"1.0\", \"1.0\", \"0.8994298614947843\", \"0.8441834511034\"], \"5\": [\"0.8888888955116272\", \"0.8105073804259116\", \"0.9773840905602402\", \"1.0\", \"1.0\"], \"6\": [\"0.9354838728904724\", \"1.0\", \"0.8172363024977958\", \"0.7303185465744566\", \"0.5533207248029539\"], \"7\": [\"0.8787878751754761\", \"0.821455378488748\", \"0.7852847280257992\", \"0.9613709424345702\", \"0.9820705430287403\"], \"8\": [\"0.90625\", \"0.8539429816108812\", \"0.7742761725291468\", \"0.6906901181257419\", \"0.5999571024637336\"], \"9\": [\"0.9567099809646606\", \"0.9425927224290881\", \"0.8700307419709208\", \"0.8030962997928685\", \"0.8649263011547226\"], \"10\": [\"0.8595041036605835\", \"0.7275597396343939\", \"0.7629427420711723\", \"0.8236803124777468\", \"0.6506962436114708\"], \"11\": [\"0.9558823704719543\", \"1.0\", \"0.9221465628594138\", \"1.0\", \"1.0\"], \"12\": [\"0.8227847814559937\", \"0.9341788610689488\", \"0.8618731577217749\", \"0.7347607774140208\", \"0.683279423912476\"], \"13\": [\"0.884353756904602\", \"1.0\", \"0.9494260008024844\", \"1.0\", \"0.9898660938325575\"], \"14\": [\"0.9324895143508911\", \"0.8609609563845063\", \"0.7207129374666734\", \"0.5898612807913485\", \"0.5384402853377004\"], \"15\": [\"0.8857142925262451\", \"0.7349006063721182\", \"0.6458812985164686\", \"0.6791880905418182\", \"0.7876028555392535\"], \"16\": [\"0.9354838728904724\", \"0.7812222315260559\", \"0.90453748894957\", \"1.0\", \"1.0\"], \"17\": [\"0.8787878751754761\", \"0.9818774452647927\", \"0.9754831851056254\", \"0.9758186874660493\", \"0.9972650285407768\"], \"18\": [\"0.90625\", \"0.9550546650748263\", \"0.9606845503722818\", \"0.9137895285173488\", \"0.9738208933981543\"], \"19\": [\"0.9316239356994629\", \"0.9621875079156207\", \"0.8917392818528632\", \"0.7668191207702044\", \"0.7224465529863837\"], \"20\": [\"0.8716813921928406\", \"0.8975055201908481\", \"0.9371161142125217\", \"0.896289550180259\", \"0.8989754400984284\"], \"21\": [\"0.9461538195610046\", \"1.0\", \"0.9581686944948844\", \"0.9334275450453174\", \"0.804875830655667\"], \"22\": [\"0.8482758402824402\", \"0.7849792752853116\", \"0.7871072402207281\", \"0.850798012791235\", \"0.7500798466560521\"], \"23\": [\"0.8945454359054565\", \"0.8220115597957549\", \"0.8854937464247236\", \"0.9468292996157057\", \"0.882895949481078\"], \"24\": [\"0.932354211807251\", \"0.775022271848009\", \"0.7481924615850153\", \"0.7387783704247286\", \"0.7009866864848837\"]}"); // 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 3fa03e615..ca9bb68dc 100644 --- a/api/tutorials/synthea/los_prediction.html +++ b/api/tutorials/synthea/los_prediction.html @@ -566,7 +566,7 @@

Compute length of stay (labels)
-2024-06-21 13:11:46,839 INFO cycquery.orm    - Database setup, ready to run queries!
+2024-06-22 12:27:06,982 INFO cycquery.orm    - Database setup, ready to run queries!
 

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

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

Training
-2024-06-21 13:12:31,796 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 0
+2024-06-22 12:36:38,435 INFO cyclops.models.wrappers.sk_model - Best reg_lambda: 1
 
-2024-06-21 13:12:31,798 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 500
+2024-06-22 12:36:38,437 INFO cyclops.models.wrappers.sk_model - Best n_estimators: 100
 
-2024-06-21 13:12:31,799 INFO cyclops.models.wrappers.sk_model - Best max_depth: 2
+2024-06-22 12:36:38,438 INFO cyclops.models.wrappers.sk_model - Best max_depth: 5
 
-2024-06-21 13:12:31,800 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.1
+2024-06-22 12:36:38,440 INFO cyclops.models.wrappers.sk_model - Best learning_rate: 0.01
 
-2024-06-21 13:12:31,802 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
+2024-06-22 12:36:38,441 INFO cyclops.models.wrappers.sk_model - Best gamma: 2
 
-2024-06-21 13:12:31,803 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 1
+2024-06-22 12:36:38,442 INFO cyclops.models.wrappers.sk_model - Best colsample_bytree: 1
 
-{'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}
+{'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': 0.01, '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': 100, '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}
 

Log the model parameters to the report.

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

Prediction
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+
-
+

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 a81eb2916..a5c41c92f 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": "2024-06-21T17:11:30.502511Z", - "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" + "iopub.execute_input": "2024-06-22T16:26:51.552577Z", + "iopub.status.busy": "2024-06-22T16:26:51.551639Z", + "iopub.status.idle": "2024-06-22T16:27:05.557764Z", + "shell.execute_reply": "2024-06-22T16:27:05.555846Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "afae58a8-5708-4e05-8695-25ba3ce1a71f", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:27:05.566146Z", + "iopub.status.busy": "2024-06-22T16:27:05.564899Z", + "iopub.status.idle": "2024-06-22T16:27:05.573253Z", + "shell.execute_reply": "2024-06-22T16:27:05.571604Z" }, "tags": [] }, @@ -123,10 +123,10 @@ "id": "739b109a-011b-4e6e-a3de-964edeffddbd", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:27:05.579989Z", + "iopub.status.busy": "2024-06-22T16:27:05.579299Z", + "iopub.status.idle": "2024-06-22T16:27:05.587010Z", + "shell.execute_reply": "2024-06-22T16:27:05.585343Z" }, "tags": [] }, @@ -157,10 +157,10 @@ "id": "e497df9f-0f3d-4e9c-845c-539627a37f67", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:27:05.593938Z", + "iopub.status.busy": "2024-06-22T16:27:05.593376Z", + "iopub.status.idle": "2024-06-22T16:27:47.325383Z", + "shell.execute_reply": "2024-06-22T16:27:47.323476Z" }, "tags": [] }, @@ -169,77 +169,77 @@ "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 13:11:46,839 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" + "2024-06-22 12:27:06,982 \u001b[1;37mINFO\u001b[0m cycquery.orm - Database setup, ready to run queries!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 13:11:57,397 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 12:27:33,373 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 12:27:33,375 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 25.282700 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 13:12:02,439 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 12:27:38,633 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 12:27:38,635 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 5.257180 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 13:12:07,253 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 12:27:44,560 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 12:27:44,562 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 2.159252 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 13:12:07,689 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 12:27:47,055 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 12:27:47,057 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 2.488676 s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "2024-06-21 13:12:07,885 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" + "2024-06-22 12:27:47,243 \u001b[1;37mINFO\u001b[0m cycquery.orm - Query returned successfully!\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "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" + "2024-06-22 12:27:47,245 \u001b[1;37mINFO\u001b[0m cycquery.utils.profile - Finished executing function run_query in 0.186659 s\n" ] } ], @@ -398,10 +398,10 @@ "id": "c576ee51-e825-4970-86e8-3e5f221f145c", "metadata": { "execution": { - "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" + "iopub.execute_input": "2024-06-22T16:27:47.334827Z", + "iopub.status.busy": "2024-06-22T16:27:47.333347Z", + "iopub.status.idle": "2024-06-22T16:27:47.549391Z", + "shell.execute_reply": "2024-06-22T16:27:47.547824Z" }, "tags": [] }, @@ -1497,9 +1497,9 @@ } }, "text/html": [ - 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