Analyzing Machine Learning Models: The What-If Tool
Analysis
This article discusses the What-If Tool, a code-free method for exploring and understanding machine learning models. Focusing on the tool's accessibility for non-programmers, the article highlights its potential to democratize model analysis.
Key Takeaways
- •The What-If Tool enables users to examine model behavior without writing code.
- •It allows for the exploration of model performance across different data scenarios.
- •The tool facilitates a better understanding of model biases and fairness implications.
Reference
“The What-If Tool is a code-free method for probing machine learning models.”