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Basically we have done categorical encoding for the category columns and scaling so that we will get importance to all the features and we have used cross val score to test our models using f1 score then we have taken some models and has done Hypertuning to find the best model among those models and finally we have chosen our best model and implemented that to predict the final result

7/5/2024
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Tags:  

#classification 

#machine-learning