Overfitting in Machine Learning -

Overfitting vs Underfitting in Machine Learning - overfitting Overfitting is caused by the size of the data We know that the more the data more the model will learn hence, we try to give better predictions overfitting Overfitting occurs when an algorithm fits too closely to its training data, resulting in a model that can't make accurate predictions or conclusions

overfitting Overfitting is a common problem in machine learning when a model is trained to fit the training data too closely and therefore, it performs