Diagnosing the Stage of Hepatitis C Using Machine Learning

Table 5

Confusion matrix for the proposed IHSDS during validation.

Proposed IHSDS model (30% of the dataset in validation)
N = 417 (no. of samples)		Predicted output (Ƥ0, Ƥ1, Ƥ2, Ƥ3)
Actual output (ƴ0, ƴ1, ƴ2, ƴ3)	Ƥ0 (Stage I)	Ƥ1 (Stage II)	Ƥ2 (Stage III)	Ƥ3 (Stage IV)
Input
ƴ0 = 87 (Stage I)	30	25	16	16
ƴ1 = 102 (Stage II)	15	23	34	30
ƴ2 = 113 (Stage III)	26	16	35	36
ƴ3 = 115 (Stage IV)	24	21	36	34