Table 5.
Contrast with Current with Future AICCP-TBM Process for Practical Dataset with admiration to Correctness and F-Score
Methods | Dataset-1 | Dataset-2 | Dataset-3 | |||
---|---|---|---|---|---|---|
F-Measure | Accuracy | F-Measure | Accuracy | F-Measure | Accuracy | |
AICCP-TBM | 97.63 | 97.24 | 97.72 | 97.71 | 93.28 | 94.34 |
SSO-OFRBC | 96.87 | 96.97 | 96.57 | 96.55 | 91.77 | 92.12 |
SSO-OFRBC | 95.45 | 95.16 | 95.62 | 95.10 | 90.98 | 91.77 |
ISMOTE-OWELM | 93.52 | 94.04 | 91.81 | 92.01 | 90.81 | 90.91 |
SMOTE-OWELM | 93.03 | 92.21 | 91.73 | 91.82 | 89.91 | 89.92 |
OWELM | 90.42 | 90.61 | 89.42 | 89.74 | 87.91 | 88.72 |
WELM | 88.23 | 88.52 | 87.24 | 87.62 | 85.22 | 86.94 |
PCPM | 83.84 | 83.74 | 83.15 | 82.85 | 80.81 | 81.83 |
SVM | 76.35 | 78.93 | 73.11 | 72.54 | 68.22 | 67.96 |
LDT/UDT | 56.38 | 85.42 | 66.23 | 78.01 | 59.21 | 58.04 |