Table 7.

The (c/s2) error bound results of random forest models against the number of genes per leaf nmin on the ten gene data sets.

Data set	Model	nmin
		1	2	5	8	10	15
COL	RF	.044	.032	.033	.032	.035	.034
	wsRF	.046	.039	.042	.040	.042	.040
	ts-RF	.053	.043	.044	.043	.046	.044
SRB	RF	.018	.019	.017	.017	.019	.019
	wsRF	.012	.013	.013	.013	.012	.013
	ts-RF	.013	.013	.011	.010	.013	.012
LEU	RF	.040	.037	.037	.037	.039	.039
	wsRF	.035	.027	.028	.029	.032	.030
	ts-RF	.023	.020	.021	.021	.022	.022
LYM	RF	.019	.013	.012	.012	.016	.014
	wsRF	.011	.010	.010	.010	.010	.010
	ts-RF	.008	.005	.005	.005	.007	.006
BR2	RF	.034	.034	.033	.035	.041	.037
	wsRF	.038	.039	.038	.040	.042	.041
	ts-RF	.046	.039	.039	.039	.048	.045
BR3	RF	.068	.056	.056	.054	.064	.057
	wsRF	.065	.057	.057	.056	.059	.058
	ts-RF	.086	.064	.065	.062	.076	.066
NCI	RF	.037	.023	.024	.025	.030	.027
	wsRF	.016	.017	.016	.017	.017	.017
	ts-RF	.044	.022	.022	.025	.031	.025
BRA	RF	.045	.030	.029	.029	.028	.031
	wsRF	.024	.025	.024	.024	.024	.025
	ts-RF	.041	.022	.022	.022	.021	.024
PRO	RF	.041	.034	.033	.032	.037	.034
	wsRF	.038	.033	.032	.031	.034	.032
	ts-RF	.043	.033	.032	.032	.038	.033
ADE	RF	.080	.073	.071	.072	.076	.075
	wsRF	.068	.064	.065	.065	.065	.066
	ts-RF	.054	.049	.048	.048	.051	.051

Numbers in bold are the best results.