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After following the example on cross-validation on a project, I've noticed that both microAverage and macroAverage have some fields left as empty or (whichever was the default value in the PrecisionRecall's constructor).
Here's an example (taken from ac-learn)
constLearner=require('./ac-learn`)
constlearner=newLearner();//creates and object where the classifier is the `intentClassifier` from the exampleslearner.crossValidate(/*folds=*/5);
Which outputs this (seemingly incomplete) object:
{macroAvg: {count: 79,TP: 69,TN: 0,FP: 3.6,FN: 10,TRUE: 68.2,startTime: 2019-05-02T11:17:15.451Z,dep: {},confusion: {},macroPrecision: 0,macroRecall: 0,macroF1: 0,Accuracy: 0.8632911392405064,HammingLoss: 0.17215189873417722,HammingGain: 0.8278481012658228,Precision: 0.9235869565217393,Recall: 0.8734177215189874,F1: 0.89154213836478,endTime: 'Thu May 02 2019 11:17:15 GMT+0000 (GMT)',//Shouldn't this be in the EPOCH time format like the rest?timeMillis: 8.6,timePerSampleMillis: 0.1088607594936709,shortStatsString: 'Accuracy=86% HammingGain=83% Precision=92% Recall=87% F1=89% timePerSample=0[ms]'},microAvg: {count: 395,TP: 345,TN: 0,FP: 18,FN: 50,TRUE: 341,startTime: 2019-05-02T11:17:15.451Z,dep: {},confusion: {},macroPrecision: 0,macroRecall: 0,macroF1: 0,Accuracy: 0.8632911392405064,HammingLoss: 0.17215189873417722,HammingGain: 0.8278481012658228,Precision: 0.9504132231404959,Recall: 0.8734177215189873,F1: 0.9102902374670185,endTime: 2019-05-02T11:17:16.325Z,timeMillis: 874,timePerSampleMillis: 2.212658227848101,shortStatsString: 'Accuracy=341/395=86% HammingGain=1-68/395=83% Precision=95% Recall=87% F1=91% timePerSample=2[ms]'}}
I had a glance at the code and it seems that labels, dep, confusion, macroPrecision, macroRecall and macroF1 should be filled instead of being {} or 0 so I was wondering if it was a bug?
The text was updated successfully, but these errors were encountered:
After following the example on cross-validation on a project, I've noticed that both
microAverage
andmacroAverage
have some fields left as empty or (whichever was the default value in thePrecisionRecall
's constructor).Here's an example (taken from
ac-learn
)Which outputs this (seemingly incomplete) object:
I had a glance at the code and it seems that
labels
,dep
,confusion
,macroPrecision
,macroRecall
andmacroF1
should be filled instead of being{}
or0
so I was wondering if it was a bug?The text was updated successfully, but these errors were encountered: