All metrics to measure predictability are simply depend(Negatively) on False Negatives(FN) as well as False Positives(FP). Is there any way of knowing who(Instances/Tuples) went to FN basket as well as FP.Is there any backtracking of Modeling.
You can predict each sample and map it so that you know what samples were FN and what are the other samples.
Have a look at https://towardsdatascience.com/a-non-confusing-guide-to-confusion-matrix-7071d2c2204f
you must manually analyze results of your classification model and estimate which example take false value
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