Table 4.

Summary of dataset characteristics related to the applicability of 8 algorithms – mixed variable datasets.

Dataset characteristic	LR	C4.5	SVM	AB	kNN	NB	RF	BP
P	√	√	√		√		√	√
N		√	√	√	√	√	√	√
N_class		√	√		√		√
R_largest			√	√	√		√
R_least	√	√	√		√	√		√
R_binary		√		√	√	√
R_discrete	√			√	√	√	√
R_continous	√				√	√		√
Geomean		√	√		√	√	√
Harmean	√		√	√	√		√	√
MAD	√	√			√	√	√	√
Var			√		√
Std	√		√			√		√
MAr		√	√	√	√	√	√
IQR			√	√				√
D	√		√	√	√		√	√
Skewness	√		√	√	√	√
Kurtosis		√	√	√		√	√	√
Trimean	√		√	√	√	√
Percentile		√	√		√	√		√
ME_V		√		√	√	√		√
E_C	√				√	√		√
MME_CV	√	√		√	√		√
ENV	√		√	√	√	√	√	√
NSR	√		√	√	√			√
Field label				√		√		√