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Table 3 746 Dataset—with feature selection

From: Utilizing maximal frequent itemsets and social network analysis for HIV data analysis

Methodology

Accuracy

Precision

Recall

F1

ROC-AUC

OE + RFE-100

0.875

0.882

0.905

0.885

0.961

OE + UNI-100

0.861

0.865

0.902

0.876

0.95

OE + PCA-100

0.865

0.883

0.880

0.872

0.949

OE + FI-BOTH + PCA-100

0.876

0.912

0.862

0.877

0.962

OE + FI-YES + PCA-100

0.874

0.899

0.872

0.877

0.961

OE + FI-NO + PCA-100

0.873

0.904

0.865

0.875

0.957

OE + FI-BOTH + RFE

0.872

0.893

0.887

0.879

0.958

OE + FI-BOTH +CENTER RFE

0.875

0.888

0.892

0.883

0.957

OE + FI-YES + RFE

0.868

0.89

0.877

0.874

0.956

OE + FI-YES + CENTER RFE

0.865

0.887

0.877

0.872

0.956

OE + FI-NO + RFE

0.866

0.88

0.89

0.875

0.953

OE + FI-NO + CENTER RFE

0.887

0.893

0.912

0.897

0.960

OE + FI-BOTH + uni

0.859

0.888

0.863

0.866

0.935

OE + FI-BOTH + CENTER uni

0.842

0.867

0.862

0.855

0.934

OE + FI-YES + uni

0.840

0.868

0.850

0.851

0.927

OE + FI-YES + CENTER uni

0.864

0.893

0.870

0.871

0.938

OE + FI-NO + uni

0.866

0.887

0.885

0.878

0.950

OE + FI-NO + CENTER uni

0.860

0.872

0.885

0.869

0.951

  1. Significant values are typed in italic