Correct spellings for OVERITTING
- overfitting Overfitting occurs when a machine learning model fits the training data too closely and fails to generalize to new data.
If you've misspelled "overitting", don't worry! The correct spelling is "overfitting". This term is commonly used in machine learning when a model becomes too specific to the training data and fails to generalize well to new data. Remember to double-check your spelling to avoid confusion.
