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.