Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
By Binh Thai Pham, Indra Prakash, Abolfazl Jaafari, D. Tien Bui. Journal of the Indian Society of Remote Sensing, 2018
97 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/fa70a322b3a238deea0a5cc3b5a885b1d82d26c8
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In Global and Planetary Change
In Management, Monitoring, Policy and Law
Citations in the corpus
- Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil (2021, methodology): “[99], who investigated different training/testing ratios for training and validating various ML models (SVM, Logistic Regression, ANN, and Naıve Bayes) for spatial prediction of landslides and proved that 70/30 was the best training/testing ratio for getting the best performance of the ML models.”