into train and test and do
the fitting and testing on this data set only
In first approach my results might get skewed so which approach should
I take and Why ?
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Vijay Goel
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https://stat.ethz.ch
R base function glm() uses Fishers Scoring for MLE, while the glmnet uses the
coordinate descent method to solve the same equation ? Coordinate descent is
more time efficient than Fisher Scoring as fisher scoring calculates the
second order derivative matrix and some other matrix operation which
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