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)

Read more..

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.

Read more..