SubRF_Seq: Identification of Sub-Golgi Protein Types with Random Forest with Partial Sequence Information

Table 4

Performance of imbalance of positive and negative samples of the data set on the classification effect.

Cutting	Classifier	Encoding	SEV		10-flod CV
			Acc (%)	AUC	Acc (%)	AUC
20 + 3	RF	EAAC	82.81	0.8544	78.13	0.7813
4 + 17			85.94	0.8492	67.95	0.6161
18 + 25			82.81	0.7828	79.69	0.4615
20 + 11			79.69	0.7828	77.75	0.7681
11 + 11			82.81	0.7730	80.06	0.5716