Table 3 Most commonly used features and associated prediction accuracy
Ranking Order | Feature (Index) | Count (percentage %) | Features used in all classifiers | Mean Accuracy(%) |
|---|---|---|---|---|
1 | 32(MAO) | 300(100.0) | 32 | 87.37 |
2 | 17(PHOS) | 286(95.33) | 32+17 | 90.29 |
3 | 26(CK-MB) | 240(80.0) | 32+17+26 | 93.7 |
4 | 16(Ca) | 236(78.67) | 32+17+26+16 | 93.44 |
5 | 13(LDH) | 233(77.67) | 32+17+26+16+13 | 94.12 |
6 | 34(FRUC) | 226(75.33) | 32+17+26+16+13+34 | 94.94 |
7 | 39(K) | 210(70.0) | 32+17+26+16+13+34+39 | 95.28 |
8 | 38(Na) | 203(67.67) | 32+17+26+16+13+34+39+38 | 95.49 |
9 | 2(ALB) | 184(61.33) | 32+17+26+16+13+34+39+38+2 | 95.74 |
10 | 6(GLU) | 168(56.0) | 32+17+26+16+13+34+39+38+2+6 | 90.5 |
11 | 36(TBA) | 162(54.0) | 32+17+26+16+13+34+39+38+2+6+36 | 90.64 |
12 | 5(TB) | 150(50.0) | 32+17+26+16+13+34+39+38+2+6+36+5 | 90.56 |