Figure 4
From: Multiclass classification of microarray data with repeated measurements: application to cancer
Comparison of prediction accuracy of EWUSC, USC, SVM and SC algorithms on the multiple tumor data. The horizontal axis shows the total number of distinct genes selected over all binary SVM classifiers on a log scale. Some results are not available on the full range of the total number of genes. For example, the maximum numbers of selected genes for EWUSC and USC are roughly 1,000. The reported prediction accuracy is 78% [10] using all 16,000 available genes on the full data. The EWUSC algorithm achieves 89% prediction accuracy with only 89 genes. With 680 genes, EWUSC produces 93% prediction accuracy.