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feat(forest-prediction): substitute broken link
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- Test (last day) accuracy > **0.65**. Test set (0). Write the result in the `README.md`
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- Display the confusion matrix for the best model in a DataFrame. Precise the index and columns names (True label and Predicted label)
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- Plot the learning curve for the best model
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- Save the trained model as a [pickle](https://www.datacamp.com/community/tutorials/pickle-python-tutorial) file
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- Save the trained model as a [pickle](https://docs.python.org/3/library/pickle.html) file
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> Advice: As the grid search takes time, I suggest to prepare and test the code. Once you are confident it works, run the gridsearch at night and analyse the results
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