A Hybrid Ensemble Machine Learning Approach For Arrival Flight Delay Classification Prediction Using Voting Aggregation Technique

Abstract

I.Nomenclature(i) =mean cj =samples class label d(i) =discriminant power di =discriminant power F =features vector fi,j =index of ith learning sample in the jth feature Fre =feature group at the rear Ftop =features group at the top M =dataset matrix definition m =number of dataset sample n =number of dataset features nF =number of the sample feature p(i) =discriminant class S =features significant s =standard error Xi =vector collection of features α and β =parameter of the filter feature significant σ(i) =standard deviation II.