Table 2. Classification accuracy table.

Classification Parameters	Training accuracy (%)	Testing accuracy (%)	Percent decrease in testing accuracy from Case I *
Case I	88.3±1.7	75.6±2.9	0.0
CC, FPP, MR	83.3±1.9	75.0±3.0	0.6
CC, CM, MR	64.9±2.1	57.1±3.6	18.5
CM, FPP, MR	67.2±2.1	60.0±3.5	15.6
CC, CM, FPP	71.2±2.1	60.3±3.4	15.3
CC, CM	64.6±2.1	60.7±3.4	14.9
CM, FPP	61.0±2.1	57.0±3.4	18.6
CC, FPP	47.8±1.8	37.5±3.8	38.1
CM, MR	65.4±2.2	59.0±3.5	16.6
CC, MR	49.5±1.9	42.5±3.2	33.1
FPP, MR	50.0±2.0	41.4±4.0	34.2
MR	42.9±1.6	37.9±3.5	37.7
FPP	47.1±2.0	44.3±3.4	31.3
CC	45.8±1.9	42.8±3.6	32.8
CM	33.6±1.6	27.2±3.8	48.4

All comparisons are made with respect to the Case I when all parameters are included.

^*Case I = CC, CM, FPP and MR are included, where CC = Cell-Cell contact energy, CM = Cell-Matrix contact energy, FPP = FPP λ value, MR = Mitosis Rate.