All 7 Bias-Variance Tradeoff questions
More in Bias-Variance Tradeoff
What is Bias-Variance Tradeoff Why is Bias-Variance Tradeoff important in Machine Learning Fundamentals How does Bias-Variance Tradeoff work What are the key parts or types of Bias-Variance Tradeoff What is a real world example of Bias-Variance Tradeoff What are best practices for Bias-Variance Tradeoff
Advertisement
Back to results for “Fundamentals”
Machine Learning Fundamentals › Bias-Variance Tradeoff

What are common mistakes to avoid with Bias-Variance Tradeoff

Intermediate

Answer

A common mistake is only focusing on reducing training error, since that usually increases variance and hurts performance on new data.
Real-world example A simple straight line model predicting house prices may miss important patterns, high bias, while a very complex model may fit every small detail of the training houses and fail on new houses, high variance.

Common follow-ups: What is overfitting, What is regularization, What is model complexity

Machine Learning Fundamentals Deep Learning Supervised & Unsupervised Learning
All 7 Bias-Variance Tradeoff questions