Table 4. Classification performance on feature ranking metrics with varying number of terms on BET dataset.
Feature selection measures | ||||||||
---|---|---|---|---|---|---|---|---|
No. of terms | NDM | BNS | OR | Gini | DFS | IG | CS | NES |
100 | 0.69 | 0.85 | 0.74 | 0.51 | 0.88 | 0.88 | 0.88 | 0.87 |
200 | 0.81 | 0.78 | 0.8 | 0.8 | 0.86 | 0.84 | 0.85 | 0.88 |
300 | 0.82 | 0.76 | 0.76 | 0.81 | 0.85 | 0.85 | 0.85 | 0.86 |
400 | 0.83 | 0.73 | 0.78 | 0.84 | 0.87 | 0.83 | 0.86 | 0.86 |
500 | 0.85 | 0.77 | 0.79 | 0.86 | 0.87 | 0.87 | 0.87 | 0.87 |
1,000 | 0.84 | 0.85 | 0.82 | 0.86 | 0.87 | 0.87 | 0.87 | 0.85 |
1,500 | 0.85 | 0.85 | 0.83 | 0.87 | 0.85 | 0.87 | 0.86 | 0.85 |
2,000 | 0.84 | 0.84 | 0.84 | 0.85 | 0.85 | 0.87 | 0.87 | 0.85 |