Table 1.
Failure dataset description.
Table 2.
Key performance metrics comparison.
Fig 1.
Curve ROC of the base logistic regression model.
Table 3.
Confusion matrix for training and test data set.
Fig 2.
Curve ROC of the training and test dataset without SMOTE.
Table 4.
Comparison of the base model versus smote-enhanced.
Fig 3.
Curve ROC of training and test dataset with SMOTE.
Table 5.
Train and test classification evaluation metrics.
Table 6.
Confusion matrix training and test data set.
Table 7.
Training and test classification evaluation metrics with SMOTE.
Fig 4.
Random Forest and Gradient Boosting algorithms.
Fig 5.
Random forest search and optimization technique.
Fig 6.
Gradient boosting search and optimization technique.
Table 8.
Predict Class SMOTE vs ARGM.
Table 9.
SMOTE vs ARGM ranking evaluation metrics.
Fig 7.
ROC curve, SMOTE versus ARGM.
Table 10.
Micro financial institutions assessed with RGCM.