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Questions, tested with data.

Explore real datasets through reproducible analysis, interactive models, and explanations that show not only what works, but why.

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Classification Intermediate Interactive

Can routine measurements screen for heart disease?

A classification study on 303 referred cardiac patients — and why the best-scoring model is not the one served.

Thirteen clinical measurements, 303 patients, and one question: how much of the diagnosis is visible before any invasive test is ordered? The study compares candidate models against a …

11 min read · Updated 15 Sep 2026

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Latest studies

Classification Intermediate Interactive

Can routine measurements screen for heart disease?

A classification study on 303 referred cardiac patients — and why the best-scoring model is not the one served.

Thirteen clinical measurements, 303 patients, and one question: how much of the diagnosis is visible before any invasive test is ordered? The study compares candidate models against a …

11 min read · Updated 15 Sep 2026

How a study works

  1. Step 1

    A question

    What is being asked, and what the data can honestly answer.

  2. Step 2

    Evidence

    The dataset, its provenance, and what it leaves out.

  3. Step 3

    A method, compared

    Candidates measured against a baseline, with the tradeoff stated.

  4. Step 4

    Limits

    Where the result stops holding. Every study says so.