Calibration
A model is calibrated when its scores can be read as probabilities: of the cases scored around 0.07, about 7 in 100 are positive. A model can rank well and still be badly calibrated.
A model is calibrated when its scores can be read as probabilities: of the cases scored around 0.07, about 7 in 100 are positive. A model can rank well and still be badly calibrated.