Abstract:
Landslides occur when large amounts of earth, rock, sand or mud flows swiftly down hill and
mountain slopes.This project proposes a novel machine-learning method to identify the reason of
landslides using global landslide dataset.The five machine learning algorithm, including Logistic
Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Boosting Method and
Decision Tree are utilized and evaluated on global landslide dataset.An Ensemble Method is also
used to evaluate the global landslide dataset.From the result, Ensemble method gives an accuracy
of 90% . Random Forest(RF) comes in second with 89% accuracy.By using machine learning
technique ,the proposed landslide reason identification shows outstanding robustness and great po-
tential in tackling the landslide reason identification problem.
