Table 6 Comparison of the classifier performance using i) a variable subset of our 7 genes, ii) a set of 17 genes identified by ROC with Markov Blanket [9], iii) a set of 17 genes identified by LAD [15], iv) a set of 70 genes identified by van 't Veer [3] and v) a set of 231 genes identified by van 't Veer [3]
From: A voting approach to identify a small number of highly predictive genes using multiple classifiers
Classifier | Subsets of our 7 genes | Our 7 genes | Set of 17 genes[9] | Set of 17 genes[15] | Set of 70 genes[3] | Set of 231 genes[3] |
|---|---|---|---|---|---|---|
C4.5 with boosting | 91.67% | 84.52% | 68.42% | 59.52% | 54.76% | 76.19% |
C4.5 | 84.52% | 84.52% | 68.42% | 57.90%* | 42.11%* | 73.68%* |
k-NN | 80.36% | 77.38% | 74.21% | 63.16%* | 63.16%* | 78.94%* |
Logistic Regression | 81.55% | 77.38% | 73.68% | 73.68%* | 47.37%* | 73.68%* |
ANN | 77.38% | 76.19% | 84.21% | 84.21%* | 42.11%* | 73.68%* |
SVM | 83.33% | 76.19% | 79.47% | 63.16%* | 57.90%* | 73.68%* |