Research Article

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

Table 4

Feature score using FST2.

OrderFeatureFeature nameCodeScores

18ThalachMHR188.32
210OldpeakOP72.64
312caNMV70.89
43cpCPT62.60
59exangEIA38.91
65cholCM23.94
71AgeAGE23.29
84trestbpsRBP14.82
911SlopePES9.80
102SexSEX7.58
1113thalTS5.90
127restecgREC2.98
136fbsFBS0.20