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In my last post, I have explained about MSE, today I will explain the variance & bias trade-off, Precision recall trade-off while assessing the model accuracy.
Variance refers to the amount by which the estimated output (f) would change if we estimated it (f) using a different training dataset. Since the training data is used to fit the statistical learning method, different training sets will…
Added by suresh kumar Gorakala on August 5, 2014 at 6:24am — No Comments
Recently, I have started reading a book "Introduction to statistical Learning", which had good introduction for model accuracy assessing. This post contains excerpts of the chapter:
Often we take different statistical approaches to build a solution for a data analytical problem. Why is it necessary to introduce so many…
Added by suresh kumar Gorakala on August 5, 2014 at 6:00am — No Comments