Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms

Table 13

Result prediction of heart failure as the category using five machine learning algorithms.

SN	Classifiers	Division of data	Class	Precision (%)	Recall (%)	F1 score (%)	Number of patients
1	SVM	Training (80%)	0	92	95	95	79
2			1	93	96	97	160
3		Testing (20%)	0	92	91	92	17
4			1	94	94	94	43
5	KNN	Training (80%)	0	89	97	96	79
6			1	91	99	98	160
7		Testing (20%)	0	92	97	94	17
8			1	94	98	96	43
9	Decision Tree	Training (80%)	0	97	100	98	79
10			1	98	100	99	160
11		Testing (20%)	0	92	100	95	17
12			1	94	100	97	43
13	Random Forest	Training (80%)	0	100	100	100	79
14			1	100	100	100	160
15		Testing (20%)	0	98	96	97	17
16			1	97	95	96	43
17	Logistic Regression	Training (80%)	0	94	93	94	79
18			1	96	91	93	160
19		Testing (20%)	0	93	90	91	17
20			1	93	92	93	43