Class precision: huge difference between True Pos. and True Negative

OlusOlus Member Posts: 16 Maven
I have run Auto-model for a Dataset for a predictive model on Binary Label: Positive or Negative. 
All of the models provide a satisfying class rate on True Pos  (+/-98%) but the True Neg. class recalls are incredibly low: 1-7%! How should I interpret this? Can I still use the model? 
Many thanks for your help

Best Answer


  • OlusOlus Member Posts: 16 Maven
    Hi Lionel,
    Many thanks for your answer. Strange thing is that I have a balanced dataset with 69% of positives and 31% negatives. As I want to predict positives I I'll use it. 
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