Table 10 The comparative results of models with feature selection using all techniques

S_DT_9

0.791

0.475

0.823

0.626

0.700

S_LR_9

0.759

0.645

0.771

0.705

0.783

S_DT_10

0.835

0.363

0.884

0.566

0.726

S_LR_10

0.772

0.492

0.800

0.627

0.720

S_DT_16

0.869

0.310

0.926

0.536

0.731

S_LR_16

0.796

0.471

0.830

0.623

0.727

S_DT_20

0.871

0.311

0.929

0.537

0.733

S_LR_20

0.791

0.476

0.824

0.626

0.726

C_DT_9

0.772

0.669

0.792

0.727

0.758

C_LR_9

0.752

0.752

0.752

0.752

0.829

C_DT_10

0.723

0.734

0.722

0.728

0.774

C_LR_10

0.723

0.766

0.719

0.742

0.818

C_DT_16

0.804

0.557

0.829

0.679

0.673

C_LR_16

0.662

0.810

0.647

0.724

0.814

C_DT_20

0.805

0.552

0.831

0.677

0.672

C_LR_20

0.591

0.824

0.567

0.684

0.787

U_DT_9

0.748

0.748

0.749

0.748

0.798

U_LR_9

0.749

0.732

0.767

0.749

0.825

U_DT_10

0.744

0.767

0.720

0.743

0.795

U_LR_10

0.743

0.762

0.724

0.743

0.817

U_DT_16

0.746

0.745

0.748

0.746

0.786

U_LR_16

0.749

0.727

0.771

0.749

0.826

U_DT_20

0.746

0.744

0.748

0.746

0.785

U_LR_20

0.753

0.743

0.764

0.753

0.829

Ba_DT_9

0.911

0.151

0.990

0.386

0.797

Ba_LR_9

0.913

0.157

0.990

0.394

0.829

Ba_DT_10

0.911

0.117

0.992

0.341

0.784

Ba_LR_10

0.911

0.126

0.991

0.354

0.818

Ba_DT_16

0.912

0.186

0.987

0.429

0.801

Ba_LR_16

0.913

0.177

0.989

0.418

0.829

Ba_DT_20

0.912

0.189

0.987

0.432

0.801

Ba_LR_20

0.914

0.187

0.989

0.430

0.835

Ad_DT_9

0.902

0.197

0.974

0.438

0.752

Ad_LR_9

0.913

0.157

0.990

0.394

0.787

Ad_DT_10

0.905

0.146

0.983

0.379

0.773

Ad_LR_10

0.911

0.112

0.993

0.334

0.783

Ad_DT_16

0.890

0.247

0.956

0.486

0.749

Ad_LR_16

0.914

0.177

0.989

0.418

0.779

Ad_DT_20

0.891

0.247

0.958

0.487

0.748

Ad_LR_20

0.914

0.180

0.990

0.422

0.794