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

Table 8

Creation of features and arranging the best features.

No	Feature	Score
1	exang_oldpeak2	652.854396
2	exang_ca	263.212119
3	Sex_oldpeak2	252.657949
4	thal_oldpeak2	247.914913
5	exang_trestbps2	241.749732
6	Thalach	186.180286
7	Oldpeak2	171.4864
8	fbs_oldpeak2	164.89897
9	Age2_oldpeak2	139.151372
10	exang_chol2	131.365522
11	thal_trestbps2	116.88462
12	thal_chol2	113.985724
13	thal_ca	90.668503
14	Sex_trestbps2	78.162433
15	Sex_ca	77.302537
16	Oldpeak	71.692782
17	Ca	71.020719
18	Cp	62.116086
19	Age2_ca	54.956199
20	Age2_trestbps2	53.221349
21	restecg_cp	51.837075
22	fbs_ca	43.441045
23	exang	38.518849
24	Age2_chol2	36.438097
25	Sex_chol2	35.823916
26	fbs_cp	32.072291
27	restecg_thalach2	29.718076
28	exang_thalach2	27.279766
29	Age	22.210517
30	Chol	21.690747
31	exang_slope	20.48139
32	exang_cp	18.443334
33	restecg_slope	18.246965
34	trestbps	15.094591
35	restecg_trestbps2	12.462827
36	thal_thalach2	12.403249
37	Slope	9.677715
38	restecg_oldpeak2	8.249627
39	Sex	7.72169
40	thal_slope	7.199342
41	Sex_thalach2	5.89906
42	fbs_trestbps2	5.897746
43	thal_cp	5.838268
44	Thal	5.75303
45	thalach2	5.688919
46	restecg_chol2	5.639162
47	fbs_slope	5.480661
48	Age2_thalach2	5.466855
49	fbs_thalach2	4.64652
50	Age2_slope	4.031292
51	Sex_slope	2.987813
52	restecg	2.877743
53	Age2_cp	2.324974
54	fbs_chol2	2.116344
55	Age2	2.00334
56	trestbps2	1.655964
57	chol2	0.877493
58	Sex_cp	0.564425
59	restecg_ca	0.256374
60	fbs	0.184946