. 2020 Apr 6;15(4):e0231059. doi: 10.1371/journal.pone.0231059

Table 1. Performances of different classifiers in terms of cross-entropy loss (CEL), micro- and macro-average precisions (Pre_μ and Pre_M, respectively).

Each score is computed across the 10-fold cross-validation and we provide the standard deviation. Bold scores highlight the best scores for each metric.

Algorithm	CEL	Pre_μ	Pre_M
GPD	1.09±0.06	0.80±0.01	0.71±0.02
MLR	1.01 ± 0.07	0.84 ± 0.01	0.76 ± 0.01
RF	1.56±0.24	0.80±0.01	0.70±0.03
nB	10.63±0.55	0.66±0.01	0.60±0.02
SVM	1.42±0.04	0.72±0.02	0.59±0.02

Table 1. Performances of different classifiers in terms of cross-entropy loss (CEL), micro- and macro-average precisions (Preμ and PreM, respectively).

Table 1. Performances of different classifiers in terms of cross-entropy loss (CEL), micro- and macro-average precisions (Pre_μ and Pre_M, respectively).