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Analyze key drivers and feature importance using rule mining techniques.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.petrmasa/key-drivers-mcp" MCP server from askskill: Run: claude mcp add 'io-github-petrmasa-key-drivers-mcp' -- npx -y key-drivers-mcp
Run a key driver analysis on this customer churn dataset, identify the most influential features, and explain how factors interact using rule mining.
A summary of top churn drivers, feature importance rankings, and interpretable association rules.
Analyze the relationship between product feature usage and paid conversion, and find the most impactful features and rule combinations.
A list of conversion-driving features, importance explanations, and rules describing high-conversion behavior patterns.
Using customer satisfaction survey data, analyze which variables most affect satisfaction scores and provide interpretable rule patterns for improvement.
Key satisfaction drivers, variable importance results, and rule-based insights to support business improvements.
No documentation provided
Check the source repo for usage and examples.
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