DataScience Daily - ⚠️Overfitting and underfitting are the two biggest causes for poor performance of machine learning algorithms. . 👉🏼 Overfitting refers to a model that models the training data too well.

Overfitting and Underfitting in Machine Learning

Overfitting and Underfitting in Machine Learning

Overfitting vs. Underfitting: What Is the Difference?

Understanding Overfitting and Underfitting in Machine Learning, by Aditya Tiwari, Analytics Vidhya

Overfitting vs. Underfitting: What Is the Difference?

Overfitting vs. Underfitting: A Complete Example, by Will Koehrsen

Overfitting and Underfitting With Machine Learning Algorithms

Using Learning Curves to Analyse Machine Learning Model Performance

ML Underfitting and Overfitting - GeeksforGeeks

Overfitting vs. Underfitting: What Is the Difference?