Kizspy | Question: 47
(Choose 1 answer)
FJOVERFLOW.COM
What is overfitting in machine learning?
A. The model is too simple and fails to capture underlying patterns
B. The model learns the training data too well, capturing noise and performing poorly on new data
C. The model achieves high accuracy on both training and validation data
D. The model is perfectly balanced in terms of complexity
