[mlpack-git] [mlpack] KathirvalavakumarSubavathi initialization test (#414)

[vasanth kalingeri]

@zoq I have written a few tests. But I am not able to replicate the results that they are getting in the paper. For instance, they seem to be getting an MSE in the order of 0.00x whereas my results are in the range 0.x. For MSE, I used, sum(sum( (predictions - testLabels) ^ 2) ) / n_test_labels. The paper doesn't explicitly state this formula, it only states that it is the MSE error. Here is the code https://github.com/vasanthkalingeri/mlpack/blob/stdlogicerror/src/mlpack/tests/kathirvalavakumar_subavathi_test.cpp , Can you please tell me why there is a discrepancy. I understand that such discrepancy is expected in two spirals problem, however I am unable to figure out why it is so in the standard iris data set. I understand that you might not have time to look at the code, so it would be really helpful if you could tell me if there is something I am missing. I did the 10-fold CV and averaged the errors over all folds as well.

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