GoCareerGoCareer prep studio
LoginSign up
← All tutorials

GoCareerGo Tutorials

Machine Learning Tutorial

Supervised learning, classification, neural networks and core ML algorithms.

Regression Evaluation Metrics

MAE, MSE, RMSE and R² explained.

Quick-reference summary — a full handcrafted walkthrough is coming soon for this topic.

MAE, MSE, RMSE and R² explained.

  • Category: Supervised Learning — part of the Machine Learning Tutorial on GoCareerGo
  • Read the short summary above, then check the linked docs for full syntax/behaviour
  • Interview tip: be ready to explain "Regression Evaluation Metrics" in one sentence, then back it up with a tiny example
# Regression Evaluation Metrics — minimal example
# See scikit-learn / the linked framework docs for the exact API.
Tip

Quick recall: "Regression Evaluation Metrics" — mAE, MSE, RMSE and R² explained.