Model Metrics

Getting Started

  • Welcome to the Model Metrics Python Library Documentation!

Performance Assessment

  • Model Performance Summaries
  • Per-Model Ground Truth
  • Lift Charts
  • Gain Charts
  • ROC AUC Curves
  • Precision-Recall Curves
  • Confusion Matrix Evaluation
  • Overlap Venn Diagrams
  • Overlap Table
  • Overlap Summary
  • Overlap Crosstabs
  • Calibration Curves
  • Threshold Metric Curves
  • Residual Diagnostics
  • Feature Selection and Importance
  • Risk-Adjusted Funnel Plots
  • Combined Plot Grids

External Validation

  • Aligning an External Cohort

Partial Dependence

  • Partial Dependence Plots

Conceptual Notes

  • Interpretive Context
  • Binary Classification Outputs
  • Threshold Selection logic
  • Calibration Trade-offs
  • Lift: Mathematical Definition
  • Gain: Mathematical Definition
  • Partial Dependence Foundations
  • Regression Outputs
  • Funnel Plots: Risk-Adjusted Group Comparison

Model Training Overview

  • Adult Income Dataset

Model Registry

  • Model Registry

About Model Metrics

  • Acknowledgements
  • Contributors/Maintainers
  • Citing Model Metrics
  • Changelog
  • References
Model Metrics
  • Search

© Copyright 2026, Leon Shpaner, Arthur Funnell.

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