Use categorical dtype for categorical features #603
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+ Coverage 82.83% 82.87% +0.03%
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The categorical 'actiontype', 'result', 'bodypart' and 'bodypart_detailed' features now have dtype "pd.Categorical". This allows machine learning frameworks such as xgboost to automatically recognize these features as being categorical and handle them accordingly. The features are now strings (e.g., "pass") instead of integer ids. Also, the column name for each of these features was renamed as follows: type_id -> actiontype result_id -> result bodypart_id -> bodypart
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The categorical 'actiontype', 'result', 'bodypart' and 'bodypart_detailed' features now have dtype "pd.Categorical". This allows machine learning frameworks such as xgboost to automatically recognize these features as being categorical and handle them accordingly.
The features are now strings (e.g., "pass") instead of integer ids. Also, the column name for each of these features was renamed as follows: type_id -> actiontype
result_id -> result
bodypart_id -> bodypart