Table 4.

Sample results attained with the implemented UNet scheme.

Classifier	TP	FN	TN	FP	ACC (%)	PRE (%)	SEN (%)	SPE (%)	NPV (%)
SoftMax	441	9	442	8	98.11	98.22	98.00	98.22	98.00
NB	442	8	443	7	98.33	98.44	98.22	98.44	98.23
RF	441	9	443	7	98.22	98.44	98.00	98.44	98.01
Coarse tree	442	8	442	8	98.22	98.22	98.22	98.22	98.22
Medium tree	442	8	444	6	98.44	98.66	98.22	98.67	98.23
Fine tree	446	4	447	3	99.22	99.33	99.11	99.33	99.11
Coarse KNN	445	5	446	4	99.00	99.11	98.89	99.11	98.89
Medium KNN	444	6	445	5	98.78	98.88	98.67	98.89	98.66
Fine KNN	447	3	442	8	98.78	98.24	99.33	98.22	99.32
SVM linear	441	9	445	5	98.44	98.88	98.00	98.89	98.02