Expected Calibration Error (ECE); the model is divided into 10 equal-width bins (default) and the mean of the observed (0/1) vs. mean of predicted is calculated per bin, weighted by emperical frequency of elements in bin i
getECE(actual, predicted, n_bins = 10)vector of observed class labels (0/1)
vector of uncalibrated predictions
number of bins of the underlying equal-frequency histogram, Default: 10
equal-frequency ECE value