How can one assess the goodness of fit for kernel density estimation ?

10 October 2018 0 4K Report

I have some sensor data (univariate) and trying to find out a generalized behavior of the sensor through kernel density estimation - both Gaussian and Epnechnikov gave similar results. However, the total log probability comes out be large negative number (using Python scikit-learn). What does it mean to have negative "total log probability" ? How do I evaluate the kernels statistically ?

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