Overview#

Overfitting (or High Variance error) is an error from sensitivity to small fluctuations in the Training dataset.

Overfitting can cause an algorithm to model the random noise in the Training dataset, rather than the intended outputs.

Solving for Overfitting#

Generally a larger Training dataset will be help Overfitting and increase Bias error

Regularization will often help to prevent Overfitting

More Information#

There might be more information for this subject on one of the following:

• Dropout Regularization
• Machine Learning model
• Regularization
• Underfitting
• Variance error