Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms

. 2020 Jul 31;22(8):849. doi: 10.3390/e22080849

Algorithm 1 AWE pseudocode.

Input: S: new data chunk

K: size of the ensemble

C: ensemble of K classifiers

Output: C: ensemble of K classifiers with updated weights

Train new classifier

C^{'}

with S;

Calculate weight of

C^{'}

based on 1 using cross-validation on S;

for

C_{i}

in C do

Calculate weight of

w_{i}

based on 1

end for

C ← K classifiers with highest weights from

C \cup C^{'}

;

return C;