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I am using GridSearch from sklearn to optimize parameters of the classifier. There is a lot of data, so the whole process of optimization takes a while: more than a day. I would like to watch the performance of the already-tried combinations of parameters during the execution. Is it possible?

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Set the verbose parameter in GridSearchCV to a positive number (the greater the number the more detail you will get. 

Example:

GridSearchCV(clf, param_grid, cv=cv, scoring='accuracy', verbose=10)  

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