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 |