The Complete Guide on Overfitting and Underfitting in Machine

Title:Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Abstract:Neural networks trained by gradient descent have

Overfitting occurs when the chosen model is too complex relative to the size of the dataset For example, in the case of a polynomial regression

overfitting 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 Conclusion · Overfitting occurs when a model learns its training data too intimately, capturing the noise along with the signal · Underfitting,