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. 2023 Feb 26;11(5):697. doi: 10.3390/healthcare11050697

Table 10.

Index of performance results for each class in each method.

Model Classes Accuracy (%) Precision (%) Sensitivity (%) F1 Score (%)
Random Forest BTT 100 85.71 100 92.30
IDA 88.57 92.86 76.47 83.87
HbE 96.55 85 97.14 90.66
Combination 90.91 100 40 57.14
K-Nearest Neighbor BTT 89.70 83.34 83.34 83.34
IDA 87.88 72.23 76.47 37.14
HbE 89.28 82.05 91.43 86.49
Combination 85.29 0 0 0
Support Vector Machine BTT 96.61 85.71 54.54 66.61
IDA 93.44 86.67 81.25 83.87
HbE 82.54 87.10 79.41 83.08
Combination 80.95 0 0 0
Extreme Learning Machine BTT 100 100 100 100
IDA 98.44 100 93.75 96.77
HbE 98.41 97.22 100 98.59
Combination 100 100 100 100