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. Author manuscript; available in PMC: 2019 Jan 1.
Published in final edited form as: Knowl Inf Syst. 2017 Nov 17;54(1):151–170. doi: 10.1007/s10115-017-1133-2

Table 4.

Average rank of the calibration methods on the benchmark datasets using LR as the base classifier. Marker */⊛ indicates whether ENIR is statistically superior/inferior to the compared method (using an improved Friedman test followed by Holm’s step-down procedure at a 0.05 significance level).

IsoRegC BBQ ENIR
AUC 1.963 2.225 1.813
ACC 1.675 2.663* 1.663
RMSE 1.925* 2.625* 1.450
ECE 2.125 1.975 1.900
MCE 2.475* 1.750 1.775