pnn.x_imp derives the importance of a predictor used in the PNN,
where the "importance" is measured by the increase in cross entropy after eliminating the impact
of the predictor in interest.
A PNN object generated by pnn.fit()
The ith predictor in the PNN
A vector with the variable name and two values of importance measurements, namely "imp1" and "imp2". The "imp1" measures the increase in cross entropy after replacing all values of the predictor with its mean. The "imp2" measures the increase in cross entropy after dropping the predictor from the PNN.
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