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

Table 3

Showing experimental results of the optimized decision tree model.

Max depth	Min samples split	Min samples leaf	Max features	Criterion	Accuracy
10	18	15	Auto	Entropy	81%
15	25	12	Auto	Gini	82%
18	11	10	Sqrt	Gini	72%
20	15	20	Sqrt	Gini	83%
25	10	50	Auto	Entropy	71%
30	12	30	Auto	Entropy	74%
35	22	25	Sqrt	Entropy	75%
40	8	14	Sqrt	Gini	78%
45	5	16	Auto	Entropy	73%
50	14	0	Auto	Gini	78%
70	17	18	Auto	Entropy	75%
80	13	0	Auto	Entropy	84%
100	20	0	Sqrt	Entropy	84%