Table 11 Comparison of G-mean values for testing performance of RF models trained on training sets processed by various sampling algorithms.

0.8556 ± 0.0002

0.8478 ± 0.0002

0.8465 ± 0.0004

0.8463 ± 0.0003

0.8488 ± 0.0002

0.8486 ± 0.0003

0.8513 ± 0.0002

0.8565 ± 0.0001

0.6902 ± 0.0597

0.7129 ± 0.0428

0.6760 ± 0.0526

0.7695 ± 0.0000

0.7439 ± 0.0391

0.7100 ± 0.0420

0.8093 ± 0.0276

0.7289 ± 0.0548

0.9203 ± 0.0004

0.9218 ± 0.0003

0.9061 ± 0.0006

0.8973 ± 0.0008

0.9126 ± 0.0005

0.9208 ± 0.0005

0.8886 ± 0.0007

0.9231 ± 0.0005

0.8892 ± 0.0446

0.8400 ± 0.0500

0.7960 ± 0.0681

0.7703 ± 0.0565

0.7969 ± 0.0427

0.8216 ± 0.0509

0.8320 ± 0.0715

0.9379 ± 0.0337

0.4429 ± 0.0314

0.4463 ± 0.0307

0.4511 ± 0.0271

0.4628 ± 0.0303

0.4267 ± 0.0405

0.5284 ± 0.0330

0.3680 ± 0.0277

0.6239 ± 0.0364

0.5196 ± 0.0049

0.6359 ± 0.0031

0.6226 ± 0.0040

0.6076 ± 0.0046

0.6016 ± 0.0048

0.5928 ± 0.0091

0.4402 ± 0.0157

0.6776 ± 0.0039

0.8787 ± 0.0023

0.9260 ± 0.0012

0.9177 ± 0.0013

0.8887 ± 0.0029

0.9042 ± 0.0018

0.9114 ± 0.0025

0.8385 ± 0.0057

0.9511 ± 0.0007

0.5903 ± 0.0075

0.6307 ± 0.0072

0.5789 ± 0.0131

0.5972 ± 0.0075

0.5674 ± 0.0103

0.5240 ± 0.0115

0.0666 ± 0.0083

0.7055 ± 0.0118

0.0638 ± 0.0063

0.1988 ± 0.0124

0.1934 ± 0.0185

0.1967 ± 0.0107

0.2015 ± 0.0118

0.1994 ± 0.0168

0.1323 ± 0.0176

0.2469 ± 0.0209

0.5681 ± 0.0112

0.5990 ± 0.0137

0.6406 ± 0.0160

0.6025 ± 0.0204

0.5673 ± 0.0262

0.5877 ± 0.0199

0.6046 ± 0.0158

0.6769 ± 0.0153

0.0000 ± 0.0000

0.2050 ± 0.0117

0.2039 ± 0.0117

0.0704 ± 0.0005

0.2104 ± 0.0010

0.2058 ± 0.0118

0.1407 ± 0.0004

0.3214 ± 0.0194

0.2496 ± 0.0145

0.5833 ± 0.0146

0.6045 ± 0.0213

0.4793 ± 0.0163

0.4186 ± 0.0202

0.3907 ± 0.0215

0.2906 ± 0.0296

0.6676 ± 0.0072

0.0000 ± 0.0000

0.1387 ± 0.0159

0.1451 ± 0.0112

0.0760 ± 0.0115

0.1511 ± 0.0194

0.1547 ± 0.0198

0.0000 ± 0.0000

0.2063 ± 0.0228