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How to reduce false positives in classification

How to reduce false positives in classification
  1. How do you reduce false positives?
  2. What can be done to reduce false positive and false negative?

How do you reduce false positives?

To minimize the number of False Negatives (FN) or False Positives (FP) we can also retrain a model on the same data with slightly different output values more specific to its previous results. This method involves taking a model and training it on a dataset until it optimally reaches a global minimum.

What can be done to reduce false positive and false negative?

The most effective way to reduce both your false positives and negatives is using a high-quality method. This is particularly important in chromatography, though method development work is necessary in other analytical techniques.

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