Which of the following best names the concept in which a modeling error where a model learns the training data too well, including noise, and performs poorly on new data?

Question

Accepted Answer

D. Overfitting — Overfitting refers to a modeling error where a model learns the training data too well, including noise, and performs poorly on new data.

Answer

A. Deep learning

Answer

B. Classification

Answer

C. Natural Language Processing (NLP)

Answer

D. Overfitting

Which of the following best names the concept in which a modeling error where a model learns the training data too well, including noise, and performs poorly on new data?

Correct answer

Explanation