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Shubh
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Interpreting high accuracy low Improving roc auc-score and very low recall for one class in binary classification score when accuracy is good

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Shubh
  • 198
  • 6

Interpreting high accuracy low auc-score and very low recall for one class in binary classification

I have got a binary classification problem with large dataset of dimensions (1155918, 55)

Also dataset is fairly balanced of 67% Class 0 , 33% Class 1.

I am getting test accuracy of 73% in test set and auc score is 50 % Recall is 0.02 for Class 1 I am using a logistic regression and also tried pycaret's classification algorithm

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