Overfitting and Underfitting in Machine Learning

Overfitting - เฮง เค็ ล overfitting Overfitting is a modeling error which occurs when a function is too closely fit to a limited set of data points It is the result of an overly overfitting Overfitting is a modeling error which occurs when a function is too closely fit to a limited set of data points It is the result of an overly

overfitting Conclusion Overfitting happens when a model fits training data too closely, resulting in great training performance but poor generalization