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A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS

Data ClassificationSupport Vector MachineLandslide Susceptibility AssessmentEngineeringData SciencePredictive AnalyticsManagementPredictive ModelingComparative StudyLandslide RiskForecastingVote Feature IntervalsDisaster DetectionStatisticsPrediction Modelling