Table 5.

Mean Square Error (MSE) and Mean Absolute Error (MAE) between actual and predicted responses using 3-fold cross validation for different category classification approaches (A, B, C mentioned in details in Description) for different drugs of CCLE database.

Drug Name	Cancer types	Number of samples		RF	A. HARF	B. Prior Classification of trees	C. LDA
AZD-6244	CNS & Skin	29 & 40	MSE	0.0164	0.0150	0.0153	0.0155
			MAE	0.1038	0.0927	0.1002	0.0937
Lapatinib	Skin & Breast	40 & 29	MSE	0.0092	0.0078	0.0095	0.0086
			MAE	0.0742	0.0648	0.0750	0.0689
Nilotinib	HLT & LUNG	69 & 74	MSE	0.0185	0.0177	0.0189	0.0180
			MAE	0.0849	0.0831	0.0850	0.0841
PD-0325901	CNS & Skin	29 & 40	MSE	0.0259	0.0212	0.0250	0.0252
			MAE	0.1340	0.1083	0.1297	0.1193
Panobinostat	CNS & HLT	29 & 71	MSE	0.0082	0.0073	0.0079	0.0073
			MAE	0.0752	0.0686	0.0737	0.0686
Topotecan	HLT & Skin	71 & 40	MSE	0.0159	0.0150	0.0164	0.0174
			MAE	0.1009	0.1001	0.1033	0.0152

(T = 100, m = 10 and n _size = 4).