Compare two groups? Find what drives an outcome? Spot a trend? The question decides the statistics — get this wrong and everything downstream is wrong too. More are in build.
That is the actual report this analysis produces — not a mock-up. Every analysis on this page delivers the same shape of output on your own data.
Every analysis classified under this question.
Are the predicted probabilities honest; reliability curves, Brier.
Which predictors does the model actually depend on?
How good are my forecasts actually? Rolling-origin backtest with MAPE, MASE, and bias diagnostics against naive baselines.
If I only contact the top N%, how much of the value do I capture?
Where should I set the cutoff given MY costs?
Fit several classifiers/regressors on one dataset, compare honestly (CV, metrics, stability).
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