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

Table 12

Prediction results of heart failure by using five machine learning algorithms.

Classifiers	SVM		KNN		Decision Tree		Random Forest		Logistic Regression
Criteria	Training 80%	Testing 20%	Training 80%	Testing 20%	Training 80%	Testing 20%	Training 80%	Testing 20%	Training 80%	Testing 20%
Accuracy (%)	92.35	90.00	96.82	93.33	96.46	95.00	97.68	95.00	91.05	88.33
Precision (%)	95.41	93.02	95.76	93.33	97.11	93.48	100.00	97.62	94.52	93.00
Recall (%)	96.10	93.02	98.51	97.67	100.00	100.00	100.00	95.35	92.39	90.90
F1 score	95.75	93.02	97.12	95.45	98.53	96.63	100.00	96.47	93.44	91.93