This notebook evaluates different classfiers to be applied to a dataset to predict potential donors from a dataset. The final model applied is a Random Forests classifier. Feature reduction technique is used to reduce training time without large loss to accuracy or F1 score
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Ensemble learning classifiers applied to Public Dataset
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