[Retracted] An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes

Table 5

Showing experimental results of the optimized SVM model.

Kernel	Gamma	Regularization	Accuracy
Linear	0.001	0.11	71%
Sigmoid	0.1	1.0	70%
Sqrt	0.00001	0.001	68%
Rbf	0.1	1.0	81%
Linear	0.001	0.001	72%
Rbf	0.0001	0.1	80%
Linear	0.01	0.10	73%
Rbf	0.0011	0.0001	78%
Sqrt	0.0001	0.010	75%
Sqrt	0.1	0.11	76%
Sigmoid	0.01	1.0	74%
Linear	0.0001	1.0	71%
Sigmoid	0.010	0.11	77%
Rbf	0.11	0.0001	69%
Sqrt	0.10	0.001	73%