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 2 AUE pseudocode.

Input: S: new data chunk

K: size of the ensemble

C: ensemble of K classifiers

Output: C: ensemble of K updated classifiers with updated weights

Train new classifier

C^{'}

on S;

Estimate the weight of

C^{'}

based on 4 using cross-validation on S;

for

C_{i} \in C

Calculate weight

w_{i}

based on 4;

end for

C ← K classifiers with the highest weights from

C \cup C^{'}

;

for

C_{e}

in C do

w_{e} > \frac{1}{M S E_{r}}

and

C_{e} \neq C^{'}

then

update

C_{e}

with S

end if

end for