From 9d217ae6a63baa99fea8c759babe75273188316c Mon Sep 17 00:00:00 2001
From: Maximilian Berkmann <maxieberkmann@gmail.com>
Date: Tue, 23 Jul 2019 19:38:13 +0100
Subject: [PATCH] fix(confusionMatrix): minor rectification (#22)

* fix(confusionmatrix): minor rectification

* feat(playground): added a dry-run option
---
 playground/playground-fullStats-copy.json | 533 ++++++++++++++++++++++
 playground/playground-fullStats.json      | 454 +++++++++---------
 playground/playground.js                  |   2 +-
 src/confusionMatrix.js                    |   7 +-
 4 files changed, 764 insertions(+), 232 deletions(-)
 create mode 100644 playground/playground-fullStats-copy.json

diff --git a/playground/playground-fullStats-copy.json b/playground/playground-fullStats-copy.json
new file mode 100644
index 0000000..8201df6
--- /dev/null
+++ b/playground/playground-fullStats-copy.json
@@ -0,0 +1,533 @@
+{
+  "total": 73,
+  "correctPredictions": 38,
+  "incorrectPredictions": 35,
+  "classes": [
+    "blog",
+    "bug",
+    "business",
+    "code",
+    "content",
+    "design",
+    "doc",
+    "eventOrganizing",
+    "example",
+    "financial",
+    "fundingFinding",
+    "ideas",
+    "infra",
+    "maintenance",
+    "null",
+    "platform",
+    "plugin",
+    "projectManagement",
+    "question",
+    "review",
+    "security",
+    "talk",
+    "test",
+    "tool",
+    "translation",
+    "tutorial",
+    "userTesting",
+    "video"
+  ],
+  "microAvg": {
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+    "f1": 0.5205479452054794,
+    "fallOut": 0.017757483510908167,
+    "missRate": 0.4794520547945205,
+    "precision": 0.5205479452054794,
+    "prevalence": 0.03571428571428571,
+    "recall": 0.5205479452054794,
+    "specificity": 0.9822425164890918
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+  "macroAvg": {
+    "accuracy": 0.9657534246575343,
+    "f1": null,
+    "fallOut": 0.025875062762786567,
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+    "precision": null,
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+    "specificity": 0.9741249372372136
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+  "results": {
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+      "accuracy": 0.9726027397260274,
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+      "accuracy": 1,
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+    },
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+    },
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+      "tn": 73,
+      "accuracy": 1,
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+    },
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+    },
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+    },
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+    },
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+      "recall": null,
+      "specificity": 1,
+      "confusionMatrix": [[0, 0], [0, 73]]
+    }
+  }
+}
diff --git a/playground/playground-fullStats.json b/playground/playground-fullStats.json
index 8201df6..cb4de1c 100644
--- a/playground/playground-fullStats.json
+++ b/playground/playground-fullStats.json
@@ -1,7 +1,7 @@
 {
   "total": 73,
-  "correctPredictions": 38,
-  "incorrectPredictions": 35,
+  "correctPredictions": 47,
+  "incorrectPredictions": 26,
   "classes": [
     "blog",
     "bug",
@@ -33,59 +33,59 @@
     "video"
   ],
   "microAvg": {
-    "accuracy": 0.5205479452054794,
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-    "fallOut": 0.017757483510908167,
-    "missRate": 0.4794520547945205,
-    "precision": 0.5205479452054794,
+    "accuracy": 0.6438356164383562,
+    "f1": 0.6438356164383562,
+    "fallOut": 0.013191273465246067,
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     "prevalence": 0.03571428571428571,
-    "recall": 0.5205479452054794,
-    "specificity": 0.9822425164890918
+    "recall": 0.6438356164383562,
+    "specificity": 0.9868087265347539
   },
   "macroAvg": {
-    "accuracy": 0.9657534246575343,
+    "accuracy": 0.9745596868884542,
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+    "fallOut": 0.022092799854683657,
     "missRate": null,
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-    "specificity": 0.9741249372372136
+    "specificity": 0.9779072001453163
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       "specificity": 1,
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+      "tp": 2,
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       "tn": 70,
-      "accuracy": 0.9726027397260274,
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-      "prevalence": 0.0410958904109589,
-      "recall": 0.3333333333333333,
-      "specificity": 1,
-      "confusionMatrix": [[1, 0], [2, 70]]
+      "accuracy": 0.9863013698630136,
+      "f1": 0.8,
+      "fallOut": 0.014084507042253521,
+      "missRate": 0,
+      "precision": 0.6666666666666666,
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+      "confusionMatrix": [[2, 1], [0, 70]]
     },
     "business": {
       "total": 1,
@@ -105,40 +105,23 @@
       "confusionMatrix": [[0, 0], [1, 72]]
     },
     "code": {
-      "total": 6,
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       "fn": 4,
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-      "recall": 0.3333333333333333,
-      "specificity": 0.9701492537313433,
-      "confusionMatrix": [[2, 2], [4, 65]]
+      "tn": 63,
+      "accuracy": 0.9315068493150684,
+      "f1": 0.6666666666666667,
+      "fallOut": 0.015625,
+      "missRate": 0.4444444444444444,
+      "precision": 0.8333333333333334,
+      "prevalence": 0.1232876712328767,
+      "recall": 0.5555555555555556,
+      "specificity": 0.984375,
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     "content": {
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-      "specificity": 1,
-      "confusionMatrix": [[0, 0], [1, 72]]
-    },
-    "design": {
       "total": 0,
       "samplePortion": 0,
       "tp": 0,
@@ -155,41 +138,41 @@
       "specificity": 1,
       "confusionMatrix": [[0, 0], [0, 73]]
     },
-    "doc": {
-      "total": 4,
-      "samplePortion": 0.0547945205479452,
-      "tp": 3,
+    "design": {
+      "total": 1,
+      "samplePortion": 0.0136986301369863,
+      "tp": 0,
       "fp": 0,
       "fn": 1,
-      "tn": 69,
+      "tn": 72,
       "accuracy": 0.9863013698630136,
-      "f1": 0.8571428571428571,
+      "f1": null,
       "fallOut": 0,
-      "missRate": 0.25,
-      "precision": 1,
-      "prevalence": 0.0547945205479452,
-      "recall": 0.75,
+      "missRate": 1,
+      "precision": null,
+      "prevalence": 0.0136986301369863,
+      "recall": 0,
       "specificity": 1,
-      "confusionMatrix": [[3, 0], [1, 69]]
+      "confusionMatrix": [[0, 0], [1, 72]]
     },
-    "eventOrganizing": {
-      "total": 0,
-      "samplePortion": 0,
-      "tp": 0,
+    "doc": {
+      "total": 3,
+      "samplePortion": 0.0410958904109589,
+      "tp": 2,
       "fp": 0,
-      "fn": 0,
-      "tn": 73,
-      "accuracy": 1,
-      "f1": null,
+      "fn": 1,
+      "tn": 70,
+      "accuracy": 0.9863013698630136,
+      "f1": 0.8,
       "fallOut": 0,
-      "missRate": null,
-      "precision": null,
-      "prevalence": 0,
-      "recall": null,
+      "missRate": 0.3333333333333333,
+      "precision": 1,
+      "prevalence": 0.0410958904109589,
+      "recall": 0.6666666666666666,
       "specificity": 1,
-      "confusionMatrix": [[0, 0], [0, 73]]
+      "confusionMatrix": [[2, 0], [1, 70]]
     },
-    "example": {
+    "eventOrganizing": {
       "total": 1,
       "samplePortion": 0.0136986301369863,
       "tp": 0,
@@ -206,22 +189,39 @@
       "specificity": 1,
       "confusionMatrix": [[0, 0], [1, 72]]
     },
-    "financial": {
+    "example": {
       "total": 1,
       "samplePortion": 0.0136986301369863,
+      "tp": 1,
+      "fp": 1,
+      "fn": 0,
+      "tn": 71,
+      "accuracy": 0.9863013698630136,
+      "f1": 0.6666666666666666,
+      "fallOut": 0.013888888888888888,
+      "missRate": 0,
+      "precision": 0.5,
+      "prevalence": 0.0136986301369863,
+      "recall": 1,
+      "specificity": 0.9861111111111112,
+      "confusionMatrix": [[1, 1], [0, 71]]
+    },
+    "financial": {
+      "total": 0,
+      "samplePortion": 0,
       "tp": 0,
       "fp": 0,
-      "fn": 1,
-      "tn": 72,
-      "accuracy": 0.9863013698630136,
+      "fn": 0,
+      "tn": 73,
+      "accuracy": 1,
       "f1": null,
       "fallOut": 0,
-      "missRate": 1,
+      "missRate": null,
       "precision": null,
-      "prevalence": 0.0136986301369863,
-      "recall": 0,
+      "prevalence": 0,
+      "recall": null,
       "specificity": 1,
-      "confusionMatrix": [[0, 0], [1, 72]]
+      "confusionMatrix": [[0, 0], [0, 73]]
     },
     "fundingFinding": {
       "total": 0,
@@ -241,6 +241,23 @@
       "confusionMatrix": [[0, 0], [0, 73]]
     },
     "ideas": {
+      "total": 4,
+      "samplePortion": 0.0547945205479452,
+      "tp": 1,
+      "fp": 0,
+      "fn": 3,
+      "tn": 69,
+      "accuracy": 0.958904109589041,
+      "f1": 0.4,
+      "fallOut": 0,
+      "missRate": 0.75,
+      "precision": 1,
+      "prevalence": 0.0547945205479452,
+      "recall": 0.25,
+      "specificity": 1,
+      "confusionMatrix": [[1, 0], [3, 69]]
+    },
+    "infra": {
       "total": 1,
       "samplePortion": 0.0136986301369863,
       "tp": 0,
@@ -257,92 +274,58 @@
       "specificity": 1,
       "confusionMatrix": [[0, 0], [1, 72]]
     },
-    "infra": {
-      "total": 6,
-      "samplePortion": 0.0821917808219178,
-      "tp": 3,
+    "maintenance": {
+      "total": 3,
+      "samplePortion": 0.0410958904109589,
+      "tp": 1,
       "fp": 0,
-      "fn": 3,
-      "tn": 67,
-      "accuracy": 0.958904109589041,
-      "f1": 0.6666666666666666,
+      "fn": 2,
+      "tn": 70,
+      "accuracy": 0.9726027397260274,
+      "f1": 0.5,
       "fallOut": 0,
-      "missRate": 0.5,
+      "missRate": 0.6666666666666666,
       "precision": 1,
-      "prevalence": 0.0821917808219178,
-      "recall": 0.5,
+      "prevalence": 0.0410958904109589,
+      "recall": 0.3333333333333333,
       "specificity": 1,
-      "confusionMatrix": [[3, 0], [3, 67]]
-    },
-    "maintenance": {
-      "total": 4,
-      "samplePortion": 0.0547945205479452,
-      "tp": 1,
-      "fp": 1,
-      "fn": 3,
-      "tn": 68,
-      "accuracy": 0.9452054794520548,
-      "f1": 0.3333333333333333,
-      "fallOut": 0.014492753623188406,
-      "missRate": 0.75,
-      "precision": 0.5,
-      "prevalence": 0.0547945205479452,
-      "recall": 0.25,
-      "specificity": 0.9855072463768116,
-      "confusionMatrix": [[1, 1], [3, 68]]
+      "confusionMatrix": [[1, 0], [2, 70]]
     },
     "null": {
-      "total": 27,
-      "samplePortion": 0.3698630136986301,
-      "tp": 25,
-      "fp": 30,
+      "total": 33,
+      "samplePortion": 0.4520547945205479,
+      "tp": 31,
+      "fp": 23,
       "fn": 2,
-      "tn": 16,
-      "accuracy": 0.5616438356164384,
-      "f1": 0.6097560975609756,
-      "fallOut": 0.6521739130434783,
-      "missRate": 0.07407407407407407,
-      "precision": 0.45454545454545453,
-      "prevalence": 0.3698630136986301,
-      "recall": 0.9259259259259259,
-      "specificity": 0.34782608695652173,
-      "confusionMatrix": [[25, 30], [2, 16]]
+      "tn": 17,
+      "accuracy": 0.6575342465753424,
+      "f1": 0.7126436781609197,
+      "fallOut": 0.575,
+      "missRate": 0.06060606060606061,
+      "precision": 0.5740740740740741,
+      "prevalence": 0.4520547945205479,
+      "recall": 0.9393939393939394,
+      "specificity": 0.425,
+      "confusionMatrix": [[31, 23], [2, 17]]
     },
     "platform": {
-      "total": 7,
-      "samplePortion": 0.0958904109589041,
-      "tp": 1,
+      "total": 5,
+      "samplePortion": 0.0684931506849315,
+      "tp": 2,
       "fp": 0,
-      "fn": 6,
-      "tn": 66,
-      "accuracy": 0.9178082191780822,
-      "f1": 0.25,
+      "fn": 3,
+      "tn": 68,
+      "accuracy": 0.958904109589041,
+      "f1": 0.5714285714285715,
       "fallOut": 0,
-      "missRate": 0.8571428571428571,
+      "missRate": 0.6,
       "precision": 1,
-      "prevalence": 0.0958904109589041,
-      "recall": 0.14285714285714285,
+      "prevalence": 0.0684931506849315,
+      "recall": 0.4,
       "specificity": 1,
-      "confusionMatrix": [[1, 0], [6, 66]]
+      "confusionMatrix": [[2, 0], [3, 68]]
     },
     "plugin": {
-      "total": 1,
-      "samplePortion": 0.0136986301369863,
-      "tp": 0,
-      "fp": 0,
-      "fn": 1,
-      "tn": 72,
-      "accuracy": 0.9863013698630136,
-      "f1": null,
-      "fallOut": 0,
-      "missRate": 1,
-      "precision": null,
-      "prevalence": 0.0136986301369863,
-      "recall": 0,
-      "specificity": 1,
-      "confusionMatrix": [[0, 0], [1, 72]]
-    },
-    "projectManagement": {
       "total": 0,
       "samplePortion": 0,
       "tp": 0,
@@ -359,22 +342,39 @@
       "specificity": 1,
       "confusionMatrix": [[0, 0], [0, 73]]
     },
-    "question": {
-      "total": 0,
-      "samplePortion": 0,
+    "projectManagement": {
+      "total": 1,
+      "samplePortion": 0.0136986301369863,
       "tp": 0,
       "fp": 0,
-      "fn": 0,
-      "tn": 73,
-      "accuracy": 1,
+      "fn": 1,
+      "tn": 72,
+      "accuracy": 0.9863013698630136,
       "f1": null,
       "fallOut": 0,
-      "missRate": null,
+      "missRate": 1,
       "precision": null,
-      "prevalence": 0,
-      "recall": null,
+      "prevalence": 0.0136986301369863,
+      "recall": 0,
       "specificity": 1,
-      "confusionMatrix": [[0, 0], [0, 73]]
+      "confusionMatrix": [[0, 0], [1, 72]]
+    },
+    "question": {
+      "total": 1,
+      "samplePortion": 0.0136986301369863,
+      "tp": 1,
+      "fp": 0,
+      "fn": 0,
+      "tn": 72,
+      "accuracy": 1,
+      "f1": 1,
+      "fallOut": 0,
+      "missRate": 0,
+      "precision": 1,
+      "prevalence": 0.0136986301369863,
+      "recall": 1,
+      "specificity": 1,
+      "confusionMatrix": [[1, 0], [0, 72]]
     },
     "review": {
       "total": 0,
@@ -394,21 +394,21 @@
       "confusionMatrix": [[0, 0], [0, 73]]
     },
     "security": {
-      "total": 2,
-      "samplePortion": 0.0273972602739726,
+      "total": 1,
+      "samplePortion": 0.0136986301369863,
       "tp": 1,
       "fp": 0,
-      "fn": 1,
-      "tn": 71,
-      "accuracy": 0.9863013698630136,
-      "f1": 0.6666666666666666,
+      "fn": 0,
+      "tn": 72,
+      "accuracy": 1,
+      "f1": 1,
       "fallOut": 0,
-      "missRate": 0.5,
+      "missRate": 0,
       "precision": 1,
-      "prevalence": 0.0273972602739726,
-      "recall": 0.5,
+      "prevalence": 0.0136986301369863,
+      "recall": 1,
       "specificity": 1,
-      "confusionMatrix": [[1, 0], [1, 71]]
+      "confusionMatrix": [[1, 0], [0, 72]]
     },
     "talk": {
       "total": 0,
@@ -430,19 +430,19 @@
     "test": {
       "total": 3,
       "samplePortion": 0.0410958904109589,
-      "tp": 1,
-      "fp": 1,
-      "fn": 2,
-      "tn": 69,
+      "tp": 0,
+      "fp": 0,
+      "fn": 3,
+      "tn": 70,
       "accuracy": 0.958904109589041,
-      "f1": 0.4,
-      "fallOut": 0.014285714285714285,
-      "missRate": 0.6666666666666666,
-      "precision": 0.5,
+      "f1": null,
+      "fallOut": 0,
+      "missRate": 1,
+      "precision": null,
       "prevalence": 0.0410958904109589,
-      "recall": 0.3333333333333333,
-      "specificity": 0.9857142857142858,
-      "confusionMatrix": [[1, 1], [2, 69]]
+      "recall": 0,
+      "specificity": 1,
+      "confusionMatrix": [[0, 0], [3, 70]]
     },
     "tool": {
       "total": 2,
@@ -462,23 +462,40 @@
       "confusionMatrix": [[0, 0], [2, 71]]
     },
     "translation": {
-      "total": 1,
-      "samplePortion": 0.0136986301369863,
+      "total": 0,
+      "samplePortion": 0,
       "tp": 0,
       "fp": 0,
-      "fn": 1,
-      "tn": 72,
-      "accuracy": 0.9863013698630136,
+      "fn": 0,
+      "tn": 73,
+      "accuracy": 1,
       "f1": null,
       "fallOut": 0,
-      "missRate": 1,
+      "missRate": null,
       "precision": null,
-      "prevalence": 0.0136986301369863,
-      "recall": 0,
+      "prevalence": 0,
+      "recall": null,
       "specificity": 1,
-      "confusionMatrix": [[0, 0], [1, 72]]
+      "confusionMatrix": [[0, 0], [0, 73]]
     },
     "tutorial": {
+      "total": 0,
+      "samplePortion": 0,
+      "tp": 0,
+      "fp": 0,
+      "fn": 0,
+      "tn": 73,
+      "accuracy": 1,
+      "f1": null,
+      "fallOut": 0,
+      "missRate": null,
+      "precision": null,
+      "prevalence": 0,
+      "recall": null,
+      "specificity": 1,
+      "confusionMatrix": [[0, 0], [0, 73]]
+    },
+    "userTesting": {
       "total": 1,
       "samplePortion": 0.0136986301369863,
       "tp": 0,
@@ -495,23 +512,6 @@
       "specificity": 1,
       "confusionMatrix": [[0, 0], [1, 72]]
     },
-    "userTesting": {
-      "total": 0,
-      "samplePortion": 0,
-      "tp": 0,
-      "fp": 1,
-      "fn": 0,
-      "tn": 72,
-      "accuracy": 0.9863013698630136,
-      "f1": null,
-      "fallOut": 0.0136986301369863,
-      "missRate": null,
-      "precision": 0,
-      "prevalence": 0,
-      "recall": null,
-      "specificity": 0.9863013698630136,
-      "confusionMatrix": [[0, 1], [0, 72]]
-    },
     "video": {
       "total": 0,
       "samplePortion": 0,
diff --git a/playground/playground.js b/playground/playground.js
index 24a9669..e81ca5c 100644
--- a/playground/playground.js
+++ b/playground/playground.js
@@ -4,7 +4,7 @@ const Learner = require('../src')
 
 let learner = null
 
-if (existsSync('playground-learner.json')) {
+if (existsSync('playground-learner.json') && !process.env.DRY) {
   //If there's already a JSON version of a learner, use it's past training samples
   const pgl = require('./playground-learner.json')
   learner = Learner.fromJSON(pgl)
diff --git a/src/confusionMatrix.js b/src/confusionMatrix.js
index 8832fe8..e56fe3f 100644
--- a/src/confusionMatrix.js
+++ b/src/confusionMatrix.js
@@ -274,8 +274,7 @@ class ConfusionMatrix {
    * @protected
    */
   getMicroAccuracy() {
-    const Ts = this.getTrue()
-    return Ts / (Ts + this.getFalse())
+    return this.getTrue() / this.getTotal()
   }
 
   /**
@@ -629,8 +628,8 @@ class ConfusionMatrix {
   getShortStats() {
     return `Total: ${this.getTotal()}\nTrue: ${this.getTrue()}\nFalse: ${this.getFalse()}\nAccuracy: ${this.getMicroAccuracy() *
       100}%\nPrecision: ${this.getMicroPrecision() *
-      100}%\nRecall: ${this.getMicroPrecision() *
-      100}%\nF1: ${this.getMicroF1() * 100}%`
+      100}%\nRecall: ${this.getMicroRecall() * 100}%\nF1: ${this.getMicroF1() *
+      100}%`
   }
 
   /**