Question: Apply ensemble methods (bagging, boosting, stacking) to GaussianNB, decision tree, K-mean and SVC models, evaluate the performance of each ensemble technique in 100 Monte Carlo

Apply ensemble methods (bagging, boosting, stacking) to GaussianNB, decision tree, K-mean and SVC models, evaluate the performance of each ensemble technique in 100 Monte Carlo runs and visualize the performance of models using Boxplot.

Provide me the python code plz.

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