Overfitting and Underfitting With Machine Learning Algorithms - Machine Learning Mastery

The cause of poor performance in machine learning is either overfitting or underfitting the data. In this post you will discover the concept of generalization in machine learning and the problems of overfitting and underfitting that go along with it. Overfitting and Underfitting With Machine Learning Algorithms Photo by Ian Carroll, some rights reserved. Supervised machine learning is best understood as approximating a target function (f) that maps input variables (X) to an output variable (Y). This characterization describes the range of classification and prediction problems and the machine algorithms that can be used to address them.