How to ensure same encoding pattern?
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I created a XGBRegressor model with certain encoded 'object' dtypes in the data. Now if I want to run the model with new set of data which is freshly encoded it's giving wrong predictions. How to ensure that the new dataset is encoded in the same way as was the train data? Or any other solution to this problem?
regression xgboost boosting
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$begingroup$
I created a XGBRegressor model with certain encoded 'object' dtypes in the data. Now if I want to run the model with new set of data which is freshly encoded it's giving wrong predictions. How to ensure that the new dataset is encoded in the same way as was the train data? Or any other solution to this problem?
regression xgboost boosting
New contributor
$endgroup$
add a comment |
$begingroup$
I created a XGBRegressor model with certain encoded 'object' dtypes in the data. Now if I want to run the model with new set of data which is freshly encoded it's giving wrong predictions. How to ensure that the new dataset is encoded in the same way as was the train data? Or any other solution to this problem?
regression xgboost boosting
New contributor
$endgroup$
I created a XGBRegressor model with certain encoded 'object' dtypes in the data. Now if I want to run the model with new set of data which is freshly encoded it's giving wrong predictions. How to ensure that the new dataset is encoded in the same way as was the train data? Or any other solution to this problem?
regression xgboost boosting
regression xgboost boosting
New contributor
New contributor
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asked 4 mins ago
Dishant KothiaDishant Kothia
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Dishant Kothia is a new contributor. Be nice, and check out our Code of Conduct.
Dishant Kothia is a new contributor. Be nice, and check out our Code of Conduct.
Dishant Kothia is a new contributor. Be nice, and check out our Code of Conduct.
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