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Using scikit-learn, Loop through predefined hyperparameters and fit the estimator (model) on the training set

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Fine tuning an SVM algorithm

Goal: find the optimum param's for my SVM algorithm Code funtion: Loop through predefined hyperparameters and fit the estimator (model) on the training set Note: You can swap out the SVM code and param's for other algorithms pretty easy here guys..

Depending on the Algoirthm and the params you test, it should print the below:

image

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Using scikit-learn, Loop through predefined hyperparameters and fit the estimator (model) on the training set

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