Table 18 Average rankings of the algorithms
From: Utilizing maximal frequent itemsets and social network analysis for HIV data analysis
Algorithm | Ranking |
|---|---|
OE | 9.125 |
OE + PCA-100 | 10.125 |
OE + FI-BOTH + PCA-100 | 10.75 |
OE + FI-BOTH + FI-CENTER + PCA-100 | 9.375 |
OE + FI-YES + PCA-100 | 11 |
OE + FI-YES + FI-CENTER + PCA-100 | 9 |
OE + FI-NO + PCA-100 | 18.125 |
OE + FI-NO + FI-CENTER + PCA-100 | 3.375 |
OE FI-BOTH RFE | 12.25 |
OE FI-BOTH CENTER RFE | 6 |
OE FI-YES RFE | 10 |
OE FI-YES CENTER RFE | 9 |
OE FI-NO RFE | 11.375 |
OE FI-NO CENTER RFE | 10 |
OE FI-BOTH uni | 17.25 |
OE FI-BOTH CENTER uni | 18 |
OE FI-YES uni | 21.5 |
OE FI-YES CENTER uni | 17 |
OE FI-NO uni | 12.25 |
OE FI-NO CENTER uni | 12.25 |
OE+RFE | 6 |
OE+UNI | 9.25 |