overfitting
/ˈoʊvərˌfɪtɪŋ/
When a model learns noise instead of the underlying pattern
overfitting in a sentence
“Overfitting caused the model to perform poorly on new data.”
Origin of overfitting
Modern English compound; over (excessive) + fit (to be suitable), meaning fitting too closely
Related Words
underfitting
When a model is too simple to capture the underlying pattern
hyperparameter
A parameter set before training begins, not learned from data
epoch
One complete pass through the entire training dataset
batch size
The number of samples processed before updating the model
loss function
A measure of how wrong the model's predictions are
bias
Prejudice in favor of or against one thing, person, or group