From: Improving feature selection performance using pairwise pre-evaluation
Chi Squared | GDS1027 | GDS2545 | GDS2546 | GDS2547 | GDS3715 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Orig | Modi | Orig | Modi | Orig | Modi | Orig | Modi | Orig | Modi | ||
5 | KNN | 0.51 | 0.68 | 0.47 | 0.54 | 0.44 | 0.59 | 0.51 | 0.55 | 0.61 | 0.73 |
SVM | 0.61 | 0.69 | 0.60 | 0.67 | 0.51 | 0.69 | 0.58 | 0.65 | 0.72 | 0.82 | |
10 | KNN | 0.60 | 0.64 | 0.49 | 0.57 | 0.50 | 0.57 | 0.51 | 0.58 | 0.70 | 0.78 |
SVM | 0.65 | 0.74 | 0.61 | 0.67 | 0.57 | 0.66 | 0.62 | 0.70 | 0.69 | 0.87 | |
15 | KNN | 0.64 | 0.66 | 0.47 | 0.53 | 0.55 | 0.63 | 0.49 | 0.60 | 0.67 | 0.75 |
SVM | 0.69 | 0.73 | 0.60 | 0.67 | 0.65 | 0.66 | 0.60 | 0.70 | 0.73 | 0.85 | |
20 | KNN | 0.64 | 0.70 | 0.51 | 0.53 | 0.54 | 0.64 | 0.56 | 0.64 | 0.67 | 0.83 |
SVM | 0.73 | 0.77 | 0.60 | 0.70 | 0.63 | 0.69 | 0.65 | 0.74 | 0.72 | 0.86 | |
25 | KNN | 0.69 | 0.73 | 0.53 | 0.52 | 0.57 | 0.61 | 0.59 | 0.66 | 0.67 | 0.86 |
SVM | 0.73 | 0.77 | 0.63 | 0.68 | 0.63 | 0.70 | 0.66 | 0.77 | 0.70 | 0.85 | |
30 | KNN | 0.62 | 0.71 | 0.55 | 0.53 | 0.54 | 0.60 | 0.60 | 0.65 | 0.71 | 0.85 |
SVM | 0.75 | 0.77 | 0.61 | 0.68 | 0.63 | 0.70 | 0.66 | 0.74 | 0.74 | 0.87 | |
MAX KNN | 0.69 | 0.73 | 0.55 | 0.57 | 0.57 | 0.64 | 0.60 | 0.66 | 0.71 | 0.86 | |
MAX SVM | 0.75 | 0.77 | 0.63 | 0.70 | 0.65 | 0.70 | 0.66 | 0.77 | 0.74 | 0.87 |