We have all heard about some classic problems that are inherent to the process of inductive learning. Among these the most prominent is usually over-fitting, where a generated model tends to fit the training data extremely well and then lacks the ability to provide suitable generalizations. However beyond the increase in bias that usually comes […]
Posts Tagged ‘system development’
Hidden consequences of classification model overfitting in Random Forests
September 2nd, 2016
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