Uncertainty Reduction in Flood Susceptibility Mapping Using Random Forest and eXtreme Gradient Boosting Algorithms in Two Tropical Desert Cities, Shibam and Marib, Yemen.
Ali Al-AizariHassan AlzahraniOmar F. AlthuwayneeYousef A. Al-MasnayKashif UllahHyuck-Jin ParkAhmed M. Al-AreeqMahfuzur RahmanBashar Y. HazaeaXingpeng LiuPublished in: Remote. Sens. (2024)
Keyphrases
- random forest
- boosting algorithms
- base classifiers
- ensemble methods
- multi class
- random forests
- loss function
- decision trees
- cost sensitive
- binary classification
- ensemble learning
- feature set
- prediction accuracy
- multi label
- machine learning methods
- benchmark datasets
- classification error
- naive bayes
- generalization ability
- weak classifiers
- ensemble classifier
- test data
- generalization error
- data sets
- small number
- training set
- face recognition
- computer vision
- machine learning