Table 2 Mean classifier test and blind well assessment outcomes (using a 20-run average) for baseline classifiers based on Mean. F and Mean. K (Percentage-wise).
Method | Baseline classifier | Adaptation | \({\mathrm{Mean}.\mathrm{ F}}_{\mathrm{t}}\) | \({\mathrm{Mean}.\mathrm{ F}}_{\mathrm{b}}\) | \({\mathrm{Rank}}_{\mathrm{b}}\) | \({\mathrm{Mean}.\mathrm{K}}_{\mathrm{t}}\) | \({\mathrm{Mean}.\mathrm{K}}_{\mathrm{b}}\) | \({\mathrm{Rank}}_{\mathrm{b}}\) |
|---|---|---|---|---|---|---|---|---|
Ad-hoc | SVM | Base | 93.26 | 82.46 | – | 88.15 | 70.61 | – |
RF | 92.72 | 81.88 | – | 87.49 | 69.96 | – | ||
XGBoost | 90.62 | 78.74 | – | 84.97 | 67.54 | – | ||
DT | 88.54 | 76.65 | – | 82.65 | 65.89 | – | ||
LR | 84.38 | 71.84 | – | 77.86 | 60.85 | – | ||
SVM | Static-SMOTE | 93.33 | 83.58 | 5 | 89.24 | 72.55 | 5 | |
RF | 92.58 | 82.75 | 6 | 88.43 | 71.69 | 6 | ||
XGBoost | 89.98 | 81.42 | 8 | 85.68 | 69.14 | 8 | ||
DT | 88.99 | 80.68 | 10 | 83.45 | 67.82 | 10 | ||
LR | 85.04 | 76.11 | 13 | 78.24 | 62.74 | 13 | ||
ECOC | SVM | Std | 93.87 | 85.30 | – | 90.03 | 75.03 | – |
RF | 92.84 | 84.29 | – | 89.12 | 74.08 | – | ||
XGBoost | 89.76 | 83.02 | – | 87.45 | 72.88 | – | ||
DT | 87.65 | 81.45 | – | 85.94 | 70.86 | – | ||
LR | 82.98 | 77.07 | – | 80.85 | 65.87 | – | ||
SVM | M-SMOTE | 89.92 | 81.38 | 9 | 83.56 | 68.82 | 9 | |
RF | 88.97 | 80.24 | 11 | 81.75 | 67.03 | 11 | ||
XGBoost | 86.43 | 77.54 | 12 | 78.54 | 64.72 | 12 | ||
DT | 83.95 | 72.97 | 14 | 77.14 | 62.68 | 14 | ||
LR | 80.87 | 71.95 | 15 | 72.56 | 57.21 | 15 | ||
SVM | CSL | 94.71 | 86.87 | 1 | 91.37 | 78.04 | 1 | |
RF | 94.09 | 86.28 | 2 | 90.55 | 77.29 | 2 | ||
XGBoost | 93.87 | 84.08 | 3 | 89.62 | 75.42 | 3 | ||
DT | 93.74 | 83.67 | 4 | 89.48 | 74.14 | 4 | ||
LR | 90.32 | 81.54 | 7 | 85.98 | 70.52 | 7 |
