Machine Learning Resources

What is Overfitting?

Overfitting occurs when a model fails to perform at a similar level of accuracy on data that was not used in the training process compared to data that it was explicitly built on.

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What is Underfitting?

Underfitting occurs when a model fails to capture the complexity of the training data and thus is a poor representation of the relationship between the features and the target.

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What is the Bias/Variance Tradeoff?

The bias/variance tradeoff refers to the challenge of finding a model that both performs at a high level of accuracy on the data on which it is trained (bias) while at the same time generalizes well to unseen data (variance)

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