siam29/Ensemble-majority-voting-Hard siam29/Ensemble-majority-voting-Hard

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siam29/Ensemble-majority-voting-Hard
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siam29

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In this project, we implemented an ensemble learning approach using majority voting (hard voting) with five machine learning classifiers: DT, RF, XGBC, ANN, and KNN. The ensemble model achieved an impressive accuracy score of 99.95% and an F1 score of 85.51%.

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