Overfitting
A situation where a model fits sample data so closely that prediction accuracy decreases when the model is applied to different (for example, out-of-sample) data.
A situation where a model fits sample data so closely that prediction accuracy decreases when the model is applied to different (for example, out-of-sample) data.