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. 2022 Jul 29;12(8):579. doi: 10.3390/bios12080579
Algorithm 1 Meta learning from base-level classifiers and the final ensemble classifier for prediction

Input: Training data DA = {ai, bi}k=1N

Output: Ensemble classifier E

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    procedureLearn from base level classifiers(:)

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        for tr = 1 to TR do

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            Learn from Etr based on DA

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        end for

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    end procedure

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    procedureBuild new dataset for predictions(:)

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        for k = 1 to n do

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            DAe = {ai′, bi}, where ai′= {e1(ai), ……,eTR(ai)}

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        end for

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    end procedure

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    procedureLearn from Meta-Classifiers(:)

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        Learn E based on De

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        Return E

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    end procedure