|
PCA, MLP, Neural Network [1]
|
96
|
100%
|
|
Nearest Shrunken Centroid [21]
|
43
|
100%
|
|
Information gain + SVM [26]
|
150
|
95%
|
|
Towing rule + SVM [26]
|
150
|
95%
|
|
Sum minority + SVM [26]
|
150
|
95%
|
|
Max minority + SVM [26]
|
150
|
91%
|
|
Gini index + SVM [26]
|
150
|
95%
|
|
Sum of variances + SVM [26]
|
150
|
95%
|
|
t-statistics + SVM [26]
|
150
|
95%
|
|
One-dimensional SVM + SVM [26]
|
150
|
95%
|
|
Information gain + LDA with NCC [20]
|
4
|
70%
|
|
Chi-squared + NNC [20]
|
4
|
70%
|
|
Gain Ratio + NNC [20]
|
4
|
85%
|
|
Gene masking + ANN [22]
|
13
|
100%
|
|
Gene masking + NCC (this paper)
|
650
|
100%
|
|
Gene masking + NSCC (this paper)
|
13
|
100%
|
