What Is the Bias–Variance Tradeoff? Underfitting and Overfitting Explained

The bias-variance tradeoff explains the balance between models that are too simple to capture data patterns and those that overfit to training samples. It involves a five-stage process from fitting a model to adjusting features and regularization to optimize performance.