Table 25 Performance of disease prediction by multiple classifiers

Logistic regression

Random forest

mean

0.6537 ±0.0073

0.5251 ±0.0053

0.6602 ±0.0080

0.4470 ±0.0124

first

0.6229 ±0.0055

0.4932 ±0.0069

0.6486 ±0.0158

0.4393 ±0.0082

min, max

0.6395 ±0.0054

0.5053 ±0.0055

0.6558 ±0.0179

0.4488 ±0.0079

min, max, mean

0.6509 ±0.0123

0.5203 ±0.0115

0.6477 ±0.0126

0.4462 ±0.0169

min, max, mean, std

0.6483 ±0.0084

0.5153 ±0.0077

0.6578 ±0.0169

0.4483 ±0.0096

max, mean, Q3, IQR, first

0.6521 ±0.0081

0.5262 ±0.0077

0.6610 ±0.0088

0.4455 ±0.0127

SVM

Decision tree

mean

0.6407 ±0.0109

0.4399 ±0.0120

0.5267 ±0.0032

0.3329 ±0.0030

first

0.6370 ±0.0083

0.4281 ±0.0087

0.5203 ±0.0079

0.3291 ±0.0053

min, max

0.6399 ±0.0067

0.4293 ±0.0069

0.4983 ±0.0109

0.3020 ±0.0021

min, max, mean

0.6407 ±0.0109

0.4407 ±0.0099

0.5196 ±0.0110

0.3203 ±0.0063

min, max, mean, std

0.6437 ±0.0054

0.4426 ±0.0064

0.5234 ±0.0070

0.3281 ±0.0083

max, mean, Q3, IQR, first

0.6401 ±0.0115

0.4374 ±0.0073

0.5201 ±0.0119

0.3266 ±0.0086