From: Utilizing maximal frequent itemsets and social network analysis for HIV data analysis
Methodology | Accuracy | Precision | Recall | F1 | Roc-Auc |
---|---|---|---|---|---|
OE + RFE 100 | 0.89 | 0.676 | 0.662 | 0.652 | 0.901 |
OE + UNI 100 | 0.881 | 0.662 | 0.616 | 0.625 | 0.901 |
OE + PCA-100 | 0.871 | 0.620 | 0.623 | 0.662 | 0.889 |
OE + FI-BOTH + PCA-100 | 0.891 | 0.672 | 0.596 | 0.627 | 0.893 |
OE + FI-BOTH + FI-CENTER + PCA-100 | 0.893 | 0.706 | 0.576 | 0.621 | 0.897 |
OE + FI-YES + PCA-100 | 0.881 | 0.650 | 0.596 | 0.611 | 0.886 |
OE + FI-YES + FI-CENTER + PCA-100 | 0.888 | 0.669 | 0.602 | 0.622 | 0.890 |
OE + FI-NO + PCA-100 | 0.879 | 0.640 | 0.570 | 0.593 | 0.880 |
OE + FI-NO + FI-CENTER + PCA-100 | 0.895 | 0.685 | 0.630 | 0.650 | 0.901 |
OE + FI-BOTH + RFE | 0.886 | 0.663 | 0.61 | 0.625 | 0.890 |
OE + FI-BOTH + FI-CENTER + RFE | 0.896 | 0.678 | 0.675 | 0.666 | 0.911 |
OE + FI-YES + RFE | 0.880 | 0.661 | 0.662 | 0.641 | 0.910 |
OE + FI-YES + FI-CENTER + RFE | 0.891 | 0.670 | 0.669 | 0.655 | 0.910 |
OE + FI-NO + RFE | 0.879 | 0.634 | 0.649 | 0.631 | 0.892 |
OE + FI-NO + FI-CENTER + RFE | 0.889 | 0.675 | 0.622 | 0.635 | 0.902 |
OE + FI-BOTH + uni | 0.889 | 0.712 | 0.590 | 0.639 | 0.896 |
OE + FI-BOTH + FI-CENTER + uni | 0.879 | 0.666 | 0.589 | 0.612 | 0.891 |
OE + FI-YES + uni | 0.862 | 0.656 | 0.603 | 0.603 | 0.871 |
OE + FI-YES + FI-CENTER + uni | 0.886 | 0.679 | 0.610 | 0.637 | 0.899 |
OE + FI-NO + uni | 0.889 | 0.698 | 0.610 | 0.645 | 0.893 |
OE + FI-NO + FI-CENTER + uni | 0.882 | 0.668 | 0.596 | 0.619 | 0.888 |