Prediction of landslides by machine learning algorithms and statistical methods in Iran

Analysis of landslide explicative factors and susceptibility mapping in an andean context: The case of Azuay province (Ecuador)

“…On the other hand, curve ROC is one of the most efficient methods to evaluate the performance of predictive models. The area under the ROC curve (AUC) describes its ability to accurately predict the occurrences and non-occurrence of the landslide [ 110 , 111 ], considering TPR and False Positive Rate (FPR) [ 112 ]. AUC is calculated from Eq.…”