Data Science Asked on July 11, 2021
I’m evaluating the performance of a classifier regarding its false negatives. The classifier performed over 9090 samples, from which 9000 were labeled as negative. I randomly chose 800 samples (out of the 9000) and found that 4 were wrong. This means a 0.5% false negative rate. I also know that the precision (in all the 90 samples labeled positive) is 10%. I want to answer questions like:
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