[Retracted] Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification

Table 2

Result analysis of HRO-DLBLCC technique with various measures.

Label	Accuracy	Precision	Recall	F-score	MCC
Entire dataset
HEM	99.00	97.64	99.40	98.51	97.77
HCC	99.33	98.61	99.40	99.00	98.50
MET	98.60	99.18	96.60	97.87	96.85
Average	98.98	98.48	98.47	98.46	97.71
Training phase (70%)
HEM	99.05	97.81	99.44	98.62	97.90
HCC	99.14	98.01	99.42	98.71	98.07
MET	98.57	99.40	96.23	97.79	96.76
Average	98.92	98.41	98.37	98.37	97.58
Testing phase (30%)
HEM	98.89	97.22	99.29	98.25	97.44
HCC	99.78	100.00	99.35	99.67	99.51
MET	98.67	98.69	97.42	98.05	97.04
Average	99.11	98.64	98.69	98.66	98.00