Automatic hyperparameter tuning via Bayesian Optimization
Dataset: Fashion MNIST
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use BO software to perform hyper-parameter search for Bagging and Boosting classifiers: two hyper-parameters (size of ensemble and depth of decision tree).
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employ Bayesian Optimization (BO) software to automate the search for the best hyper-parameters by running it for 50 iterations.