What is Overfitting in Machine Learning?

overfitting  In an overfitting scenario, models have learned the random fluctuations and noise from training datasets, resulting in the models handling noise The overfitting phenomenon happens when a statistical machine learning model learns very well about the noise as well as the signal that is

These two factors correspond to the two central challenges in machine learning: underfitting and overfitting Underfitting is when the training These two factors correspond to the two central challenges in machine learning: underfitting and overfitting Underfitting is when the training

Model overfitting is a statistical error in supervised ML, whereby the trained model fits the noise in the training data rather than its actual pattern  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