Table 5 Molecular subtype classification accuracy of Breast Cancer for the 1046 features

Gradient Boosting

0.1818

0.9348

0.5396

0.9333

0.5172

0.7987

Random Forest

0.0606

0.9724

0.4532

0.9630

0.0345

0.7657

Logistic Regression

0.1212

0.8747

0.5540

0.9259

0.4483

0.7606

Passive Aggressive

0.1515

0.8622

0.5612

0.9111

0.4483

0.7539

SGD

0.3030

0.9073

0.4604

0.9556

0.4655

0.7752

SVC

0.2727

0.8797

0.5252

0.9185

0.5345

0.7697

Ridge

0.1515

0.7293

0.4317

0.3704

0.2759

0.5524

Bagging

0.3333

0.9298

0.5108

0.9704

0.4310

0.7973

Average

0.1970

0.8863

0.5045

0.8685

0.3944

0.7467