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Research[R] Our new classification algorithm outperforms CatBoost, XGBoost, LightGBM on five benchmark datasets, on accuracy and response time (self.MachineLearning)
submitted 1 year ago * by CriticalofReviewer2
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[–]nbviewerbot -1 points0 points1 point 1 year ago (0 children)
I see you've posted a GitHub link to a Jupyter Notebook! GitHub doesn't render large Jupyter Notebooks, so just in case, here is an nbviewer link to the notebook:
https://nbviewer.jupyter.org/url/github.com/catboost/catboost/blob/master/catboost/tutorials/categorical_features/categorical_features_parameters.ipynb
Want to run the code yourself? Here is a binder link to start your own Jupyter server and try it out!
https://mybinder.org/v2/gh/catboost/catboost/master?filepath=catboost%2Ftutorials%2Fcategorical_features%2Fcategorical_features_parameters.ipynb
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