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GitHub3y
GitHub - mosha1812/voting-and-stacking-ensemble
Also, predictions are made from the test data to form the meta-model test data. Voting: The Voting Classifier is a homogeneous and heterogeneous type of Ensemble Learning, that is, the base ...
GitHub1y
phzh1984/Ensemble-Learning-and-Stacking: Random Forest classifier, Extra Trees classifier, AdaBoost classifer, Gradient Boosting classifer, Support Vector Machine - GitHub
Instead of using simple averaging or voting, stacking learns how to best combine the predictions of the base models to improve overall performance. Workflow: • Train multiple base models on the ...
IEEE4mon
Enhancing DNA Sequence Alignment using Ensemble Learning: A Voting Classifier and Stacking Approach - IEEE Xplore
The aim of the paper is to improve pairwise DNA sequence alignment accuracy using ensemble learning techniques. The application of these methods has resulted in a remarkable accuracy of 94.5%.
Frontiers3y
Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems - Frontiers
Citation: Mishra S, Shaw K, Mishra D, Patil S, Kotecha K, Kumar S and Bajaj S (2022) Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for ...