1.16. Probability calibration

1.16. Probability calibration# When performing classification you often want not only to predict the class label, but also obtain a probability of the respective label. This probability gives you some kind of confidence on the prediction. Some models can give you poor estimates of the class probabilities and some even do not support probability prediction (e.g., some instances of SGDClassifier). T

[yu4u]

Kagglerな方々はアンサンブルの前にProbability calibrationとかしてるのかしら…

[somemo]

“The following plot compares how well the probabilistic predictions of different classifiers are calibrated:”