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It is seen that among the combinations, the stacked model and SVM have the highest accuracy of 0.95, followed by GBM with 0.944, random forest with 0.944, decision tree with 0.93, and naive Bayes with ...

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Description: Code a Gaussian Naive Bayes classifier. Compute class means/variances during training and predict using probability densities. Test with a small dataset (e.g., 2 classes, 2 features).