A Simple Intuition for Overfitting, or Why Testing on Training Data is a Bad Idea
Last Updated on August 21, 2016 When you first start out with machine learning you load a dataset and try models. You might think to yourself, why can’t I just build a model with all of the data and evaluate it on the same dataset? It seems reasonable. More data to train the model is better, right? Evaluating the model and reporting results on the same dataset will tell you how good the model is, right? Wrong. In this post […]
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