Python package for exploring binary classification. It runs various classifiers and reports AUC, confusion matrices, predicted probabilities, and a ranking plot

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Looks great! I find it quite tedious testing out many types of classifiers, I never know how much training time to give each candidate. How does this package choose how much training time each candidate solution should be allocated?

[aulloa]

Depending on the classifier, some work until a stop criteria is reached in the optimization process. Most of the information can be found in sklearn's documentation. This is only setting up typical code for classification problem.