Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization

Table 34

Parameters to be used in MLP for all datasets.

Dataset	Learning rate	Momentum	Hybrid MLP accuracy	Base paper accuracy
Cleveland	0.4410246832765716	0.945131728055943	85.8	85
Statlog	0.24687115044065697	0.7512112614957723	85.9	84.4
Spect	0.001620407197768992	0.5458467309532906	85	82.02
Spectf	0.0037254964036241137	0.6064034495456784	82.4	78.28
Eric	0.6953073769599724	0.9167657941184544	81.3	80.86
Breast cancer	0.5272364248697747	0.9288899224295802	96.99	96.71
Hepatitis	0.6376255545427609	0.9250563419048221	87.1	86.45
Thyroid	0.1516498076389815	0.48805304429332785	97.7	94.81
Parkinson	0.8486064853474067	0.3499016503919223	93.8	89.23
Pima Indian diabetics	0.03218577681226653	0.06466339445401592	77.60	77.08
BUPA	0.8329619224653821	0.014749643317800043	73	67.54