LacSubPred: predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in silico approaches

Table 6 Performance of physicochemical descriptor classifier in a 5-fold cross-validation test.

Cluster #	ACC (%)	ERR (%)	MCC	PER (%)	SEN (%)	SPE (%)	FN	FP	TP	TN
cluster-0	98.63	0.35	0.91918	96.15	89.29	99.62	3	1	25	264
cluster-1	98.98	0.69	0.72522	66.67	80	99.31	1	2	4	286
cluster-2	98.98	0.01	0.8483	100	72.73	100	3	0	8	282
cluster-3	98.63	0.35	0.9356	97.06	91.67	99.61	3	1	33	256
cluster-4	98.98	1.02	0.93961	89.29	100	98.88	0	3	25	265
cluster-5	100	0	1	100	100	100	0	0	7	286
cluster-6	100	0	1	100	100	100	0	0	23	270
cluster-7	98.98	0.69	0.96881	96.72	98.33	99.14	1	2	59	231
cluster-8	99.66	0.34	0.97797	96	100	99.63	0	1	24	268
cluster-9	98.98	0.35	0.93086	95.65	91.67	99.63	2	1	22	268
cluster-10	100	0	1	100	100	100	0	0	39	254
cluster-11	99.32	0.01	0.90134	100	81.82	100	2	0	9	282
Overall	99.03	0.01	0.9367	94.20	94.20	99.47	-	-	-	-

ACC: accuracy, ERR: error, MCC: Matthews Correlation Coefficient, PER: Precision, SEN: Sensitivity, SPE: Specificity, FN: False Negatives, FP: False Positives, TP: True Positives, TN: True Negatives.

ISSN: 1471-2105