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Henrique Nader's user avatar
Henrique Nader's user avatar
Henrique Nader's user avatar
Henrique Nader
  • Member for 9 years, 6 months
  • Last seen more than 2 years ago
  • Uberlandia, Brazil
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XGBoost: how to adjust the probabilities of a binary classifier to match training data?
Yes, the calibration plot is very distorted (off the middle line), and when I apply a calibrator it helps, but still, only few samples are classified as positives. Precision and recall seem fine, the model seems to be performing well, the problem is related to the probability distribution. Too few samples are getting a probability above 50%.
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XGBoost: how to adjust the probabilities of a binary classifier to match training data?
@BenReiniger isotonic and sigmoid (sklearn's CalibratedClassifierCV)
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What’s the best way to save many pandas dataframes together?
Not the case though. When trying to open it with pandas, it’s empty as well. I think something went wrong and somehow corrupted the file. I’ve been having problems with non utf-8 strings or something like that.
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What’s the best way to save many pandas dataframes together?
About this csv comment: my csv file for some reason became empty. The file size is still there (almost 1gb) but when opening it shows nothing.
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How to get a confidence score for predictions?
Is there a way to get this confidence interval for a model that is already trained?