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Model overfitting ? The training score = 1 for different count of training examples (metrics - accuracy)

user4629038
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  • Yes, a training score of 1.0 *generally* indicates over-fitting. However, it's hard to examine how that happens for you, because you've told us nothing about the application. Are you testing with data from the training set? Is the paradigm such that a 0.95+ cross-validation is not credible? – Prune Jan 30 '17 at 17:49

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Yes ,it seems like overfitting but the next thing you can do is use a test set(different from your train and cross validation set) and analyze how your model generalizes on this unseen data.

Luis Leal
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