Ensemble Learning - Criteria | Automated hands-on| CloudxLab

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Say you are working on a classification problem and as shown in the image you have trained classifiers A, B, C and D. The accuracy of the ensemble is greater than each individual classifier. What should be true about classifiers A, B, C, and D?

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Classifiers A, B, C and D are diverse classifiers like SVM classifier and Random Forest classifier
Each of the classifier is better than the random guessing (which has equal chances of yes-no)

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