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.
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).
Tell us what went wrong, in your own words. We capture the page you're on automatically, so no need to describe where you are.