Скачать или смотреть Optimize the hyperparameters of a decision tree model using Grid Search in Python

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When you evaluate your model's performance, do you often wonder if it is giving its best performance, or can it get better? Tuning the hyperparameters will help you overcome this doubt. A hyperparameter is a model argument whose value is set even before it starts learning from the training dataset, and tuning them ensures that the model gives the best predictions. In this video, you will learn how to optimize the hyperparameters of a decision tree model using Grid Search in Python.
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