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Q: A calibrator is required for Bin Classification Evaluate #4630
Concerning Binary Classification features analysis I find that for evaluation of scores a calibrator is required, such as
Logger.Info("===== Evaluating Model's accuracy with Test data =====");
I can understand this being standard behaviour for uncalibrated learners but even with calibrated learners such as the following this is still needed (for the Probability column to be found):
var algorithm = mlContext.BinaryClassification.Trainers.AveragedPerceptron(labelColumnName: "Label", featureColumnName: "Features");
Is this correct behaviour?
Hi @lefig , thanks for your question.
Another option for models that are not calibrated, is to use the