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OptiML is an optimization process for model selection and parametrization that automatically finds the best supervised model to help you solve classification and regression problems. OptiML is available from the BigML Dashboard, API, and WhizzML. This new resource creates and evaluates hundreds of supervised models (decision trees, ensembles, logistic regression, and deepnets) with multiple configurations to finally return a list of the best models for your data. OptiML helps to avoid the difficult and time-consuming work of hand-tuning multiple supervised algorithms until you find the optimal one that solves your specific problem.