AI-900: Automated Machine Learning for R2 Optimization Configuration Tips

Learn how to configure automated machine learning experiments for regression models targeting the best R2 score. Explore algorithm selection and metric configurations for optimal R2 performance!

Question

You want to use automated machine learning to train a regression model with the best possible R2 score. How should you configure the automated machine learning experiment?

Answer

Set the Primary metric to R2 score

Explanation

To optimize for the best R2 score using automated machine learning for regression:

1. Algorithm Selection: Choose regression algorithms optimized for R2, like LightGBM or Gradient Boosting.
2. Metrics Configuration: Set the primary metric as ‘R2 Score’ to guide the model selection towards higher R2 values.
3. Maximize R2: Configure the automated ML experiment to maximize the R2 score during model training.
4. Compute Targets: Leverage robust computational resources to expedite model search and training iterations.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.