Prediction and Analysis of Retinoblastoma Related Genes through Gene Ontology and KEGG

Table 1

The predicted results for ten datasets.

Dataset	Optimal feature number	Sn	Sp	Acc	MCC
1	156	0.5727	0.9291	0.8697	0.5174
2	141	0.6273	0.9218	0.8727	0.5452
3	337	0.7364	0.8691	0.8470	0.5347
4	140	0.6000	0.9327	0.8773	0.5471
5	126	0.5636	0.9436	0.8803	0.5434
6	489	0.6273	0.9255	0.8758	0.5527
7	78	0.5545	0.9527	0.8864	0.5588
8	222	0.6364	0.9345	0.8848	0.5795
9	319	0.6545	0.9218	0.8773	0.5663
10	235	0.5545	0.9491	0.8833	0.5495
Mean (standard deviation)		0.6127 (0.0567)	0.928 (0.0234)	0.8755 (0.0113)	0.5494 (0.017)

Sn: sensitivity; Sp: specificity; Acc: accuracy; MCC: Matthews’s correlation coefficient.