Overfitting and underfitting in machine learning

What Does Overfitting Mean? Overfitting is a condition that occurs when a machine learning or deep neural network model performs significantly

The simplest way to reduce overfitting is to increase the size of the training data In machine learning, it is hard to increase the data amount

overfitting Overfitting describes when a model becomes too sensitive to noise in its training set, leading it to not generalize, or to generalize poorly, to new data

overfitting Overfitting Model overfitting is a common problem in machine learning, where a model is trained to perform well on a specific training dataset, but performs