)]}'
{
  "commit": "0932a78973020f0ef6b7e0c8003e6ee945c3421a",
  "tree": "5afae9e0cb514c5f9879645a380c13fbfffb21f8",
  "parents": [
    "631800fd48e5bf503b4df8673a7cf7e07d91b6c1"
  ],
  "author": {
    "name": "Marc Kupietz",
    "email": "kupietz@ids-mannheim.de",
    "time": "Fri Feb 19 17:39:47 2021 +0100"
  },
  "committer": {
    "name": "Marc Kupietz",
    "email": "kupietz@ids-mannheim.de",
    "time": "Fri Feb 19 17:40:33 2021 +0100"
  },
  "message": "Fix input for caret::confusionMatrix\n\nSensitivity, Specificity, ... are nor correctly computed.\nSee examples in ?caret::confusionMatrix\n\nOutput with SMOTE:\n\nprint(conf)\nConfusion Matrix and Statistics\n\n         observed\npredicted    0    1\n        0 2238   15\n        1   81   48\n\n               Accuracy : 0.9597\n                 95% CI : (0.951, 0.9672)\n    No Information Rate : 0.9736\n    P-Value [Acc \u003e NIR] : 1\n\n                  Kappa : 0.4816\n\n Mcnemar\u0027s Test P-Value : 3.266e-11\n\n            Sensitivity : 0.76190\n            Specificity : 0.96507\n         Pos Pred Value : 0.37209\n         Neg Pred Value : 0.99334\n             Prevalence : 0.02645\n         Detection Rate : 0.02015\n   Detection Prevalence : 0.05416\n      Balanced Accuracy : 0.86349\n\n       \u0027Positive\u0027 Class : 1\n\nChange-Id: I7009c6b3a1e81f4f912ce13cbbde825abc490ee7\n",
  "tree_diff": [
    {
      "type": "modify",
      "old_id": "1310b6be5b5bb9c02e0f234e135f7143f29afed5",
      "old_mode": 33188,
      "old_path": "R/idiomclassification_mk_pf.R",
      "new_id": "99025b50cdad39b7004f8b13d51e4a4d642ee5af",
      "new_mode": 33188,
      "new_path": "R/idiomclassification_mk_pf.R"
    }
  ]
}