Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

Table 7 Classification accuracy and AUC for group 2

Feature selection	3-input		4-input		5-input		6-input		7-input
Feature selection	%	AUC	%	AUC	%	AUC	%	AUC	%	AUC
ANFIS
GA	74.76	0.74	67.62	0.70	41.90	0.40	58.57	0.58	35.71	0.36
CC	58.10	0.48	58.10	0.52	51.90	0.48	48.57	0.46	61.90	0.59
ReliefF	54.29	0.47	44.29	0.38	48.10	0.53	67.14	0.62	67.14	0.62
CC-GA	74.76	0.70	70.48	0.71	54.76	0.57	61.43	0.61	64.29	0.65
ReliefF-GA	93.81	0.90	93.81	0.90	65.71	0.63	64.76	0.62	68.10	0.67
ANN
GA	45.14	0.50	51.48	0.55	45.81	0.49	46.14	0.50	47.71	0.51
CC	46.24	0.46	49.38	0.49	46.14	0.50	57.38	0.58	55.48	0.57
ReliefF	40.62	0.48	43.24	0.49	47.71	0.50	49.48	0.51	48.76	0.50
CC-GA	49.38	0.52	53.90	0.60	47.05	0.52	44.76	0.48	55.19	0.57
ReliefF-GA	84.62	0.83	73.38	0.75	48.00	0.52	51.57	0.53	45.86	0.47
SVM
GA	74.76	0.70	54.76	0.51	70.95	0.65	60.95	0.55	50.95	0.42
CC	64.76	0.55	64.76	0.55	64.76	0.55	67.62	0.56	67.62	0.62
ReliefF	54.29	0.44	54.29	0.44	44.29	0.36	48.10	0.46	34.76	0.28
CC-GA	74.76	0.70	54.76	0.51	61.43	0.50	58.10	0.54	61.43	0.57
ReliefF-GA	74.76	0.70	71.43	0.68	74.76	0.70	74.43	0.66	54.76	0.53
LR
GA	74.76	0.70	63.81	0.64	67.14	0.57	54.76	0.43	54.29	0.47
CC	71.43	0.67	71.43	0.67	61.43	0.59	68.10	0.65	61.43	0.59
ReliefF	50.59	0.45	48.10	0.39	48.10	0.41	44.76	0.43	41.43	0.41
CC-GA	74.76	0.70	63.81	0.64	60.48	0.61	64.29	0.63	60.48	0.54
ReliefF-GA	74.76	0.70	74.76	0.70	71.43	0.68	58.10	0.55	61.43	0.60

ISSN: 1471-2105