Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques

Table 2

Brief description of different feature selection techniques.

FST	Description	Code
ANOVA value	Calculate analysis of variance (ANOVA) between features for classification algorithms.	FST1
Chi-square	Calculate the chi-squared score, which is used to select the highest valued feature between each nonnegative feature.	FST2
Mutual information (MI)	Calculate mutual information between the attributes, which measures the relation between the features.	FST3