Table 4.

Comparison of predictive performances of FRF and MRF for 8 different dose points using CCLE data.

Drug	Model	Correlation
		Dose 1	Dose 2	Dose 3	Dose 4	Dose 5	Dose 6	Dose 7	Dose 8	Mean
Erlotinib	MRF	0.0293	0.2014	0.1877	0.2901	0.3915	0.4813	0.4942	0.4071	0.3103
	FRF	0.0662	0.1781	0.2138	0.3256	0.4378	0.4955	0.5094	0.4100	0.3296
Nilotinib	MRF	−0.0725	0.1966	0.1550	0.2860	0.3734	0.4255	0.3888	0.1830	0.2420
	FRF	−0.0776	0.1360	0.2186	0.3306	0.4182	0.4546	0.4310	0.2502	0.2702
PD-0325901	MRF	0.1402	0.3722	0.4842	0.5395	0.5776	0.5871	0.5668	0.5181	0.4732
	FRF	0.2013	0.4397	0.5239	0.5798	0.6067	0.6078	0.5952	0.5426	0.5121
PLX-4720	MRF	−0.0522	−0.0137	0.0885	0.1818	0.3986	0.4682	0.5018	0.3732	0.2433
	FRF	−0.0045	0.1297	0.1259	0.2434	0.4028	0.4779	0.4973	0.3772	0.2812
TAE-684	MRF	0.1068	0.1485	0.0045	0.1509	0.3236	0.3448	0.2914	0.2874	0.2072
	FRF	0.0978	0.1615	0.0541	0.2358	0.3654	0.3867	0.3736	0.3008	0.2470

All the models are built using 150 trees, m = 10 node splitting features and minimum leaf size of 10.