Table 5 Algorithms and success parameters used in data mining studies.
From: Prediction of rock type from physical and mechanical properties by data mining implementations
Algorithm | Algorithm Test Method: 10-fold Cross Validation | |||||
|---|---|---|---|---|---|---|
Adjusted parameter | Correctly Predicted | Correlation Coefficient (R) | Kappa | MAE | RMSE | |
ZeroR | Default | 41 | 0.4456 | 0 | 0.4004 | 0.4467 |
NB | Default | 76 | 0.8260 | 0.7105 | 0.1222 | 0.3322 |
J48 | Pruning carried out | 79 | 0.8586 | 0.7624 | 0.1019 | 0.3003 |
kNN | Ten neighbors (k) | 83 | 0.9022 | 0.8373 | 0.1847 | 0.2817 |
RF | 50 iterations | 87 | 0.9456 | 0.9096 | 0.1077 | 0.2038 |
SVM | Complexity (c): 2 | 88 | 0.9565 | 0.9273 | 0.0576 | 0.1725 |
