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Machine-Learning-Toolbox

This dataset was used to learn more about how some machine learning models work: KNN, Naive Bayes, and Decision Tree. It also includes some model evaluation metrics: Precision, Recall, Accuracy, and F1-Score. These metrics were derived from the confusion matrix.

  • Updated Oct 28, 2023
  • Jupyter Notebook

Design and read incrementality / lift tests for mobile game UA, then reconcile conflicting platform, MMP, and SKAN numbers into one defensible ROAS. Built for post-ATT measurement where last-click attribution lies. Dependency-free, runs in the browser.

  • Updated Jun 29, 2026
  • HTML

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