Table 3.

Prediction accuracies of 10 classifiers for 5 cancer datasets using principle component analysis or ReliefF

Classifier	Accuracy, %
	MLL		Leukemia		Colon		DLBCL		Prostate
	PCA	ReliefF	PCA	ReliefF	PCA	ReliefF	PCA	ReliefF	PCA	ReliefF
Decision Tree	84.72	87.5	72.22	84.72	41.67	94.44	87.01	89.61	45	70
1-nearest neighbor	90.28	95.83	93.06	97.22	97.22	97.22	90.91	94.81	60	80
3-nearest neighbor	93.06	95.83	95.83	95.83	97.22	97.22	89.61	97.4	65	80
5-nearest neighbor	93.06	95.83	94.44	97.22	97.22	97.22	88.31	97.4	75	85
SVM-Linear	97.22	97.22	95.83	97.22	97.22	97.22	96.1	96.1	75	80
SVM-Polynomial	80.56	91.66	80.56	97.22	94.44	97.22	89.61	98.7	70	80
SVM-Radial Basis	25.27	65.27	38.89	38.88	0	0	70.32	75.32	0	0
SVM-Sigmoid	86.11	65.27	67.5	38.88	83.33	0	70.52	75.32	60	0
Bagging	94.44	93.83	83.33	93.06	86.11	94.22	89.21	89.61	80	90
Random Forest	84.72	97.22	72.22	95.83	75	97.22	80.52	92.21	50	90