to overfit

Examples

• All

• Because the final tree overfits the data, 10-fold cross-validation is used to prune the tree.

  Academic text (2012)

• Thus, it is important that when choosing a reference class, the expert does not overfit the data by including too many variables.

  Academic text (2017)

• Because we should be cautious not to overfit the models due to the small sample size, we decided not to include the variable.

  Academic text (2016)

• One is you can, you can do what's called overfitting to the data.

  Theo Von

• So the system doesn't overfit a particular evolution of the of the game of the simulation.

• A smaller CP value leads to a bigger tree, so a smaller CP value might overfit the model to the training set.

• While the inclusion of too few variables will result in low accuracy, the inclusion of too many variables will "overfit" the data, both resulting in a lack of predictive worth.

  Academic text (2017)

• To avoid bias in our predictions, we must ensure that our model does not overfit the training data.

• Researchers often struggle with how to prevent their algorithms from overfitting the training data while still achieving high accuracy.

Synonyms

O

to overlearn

vsto overfit

• Specialized

1 8.0

Practice something so much that you only remember exact answers and cannot adapt

is about models matching training specifics and failing to work on new data

O

to overtrain

vsto overfit

• Specialized

1 7.4

To make a computer program learn so much from its example data that it fails on new data

is when a model matches training data too closely and fails on new data

Antonyms

G

to generalize

• Specialized

1 5.6

To use what a computer learned from examples on new data

How Well

to overfit

• Specialized

1 8.4

to fit

∞ 1.0

Surface Forms

Morphology

Etymology