Dr. Mamdouh Refaat is the chief data scientist at Altair. He has more than 20 years of experience in predictive analytics and data mining, and holds a Ph.D. in engineering from the University of Toronto.
Overfitting is when a machine learning model performs well with its training data but performs poorly with new data. Here’s an in-depth review of what can lead to overfitting, how it differs from underfitting and methods for detecting and avoiding it.
