What is the Bias-Variance Tradeoff?
The Bias-Variance Tradeoff is a fundamental concept in
machine learning. It refers to the tradeoff between a model's ability to capture the complexity of the data (low bias) and its susceptibility to variations and noise in the data (high variance). Balancing bias and variance is crucial for achieving good generalization.
