Sample-data demonstration

Which products will be rated highly

This shows our AI testing process on public sample data. You can't upload your own data here.

  1. 1

    Pick a sample dataset

    Public datasets, each a real business question.

  2. 2

    See how AI tested it

    The same process, already run on that data.

  3. 3

    Download predictions and results

    Every held-back row with its actual outcome and the prediction.

Step 2

See how AI tested it

Sample data
Wine Quality (UCI)
Predicts
good wine: quality 7 or above (yes/no)
Task
Classification

Cortez, P., Cerdeira, A., Almeida, F., Matos, T., & Reis, J. (2009). Wine Quality [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C56S3T. CC BY 4.0. Modified: split into training and held-out rows, predictions added.

WEAK CERTIFIED — AUDITABLE & REPEATABLE PREDICTIVE MODEL

Its predictive value is WEAK, measured but not clearly better than the baseline.

Value verified: no. The winning model showed limited improvement over the baseline; production value is not established. The product counts only STRONG and MODERATE as model value verified.

Winner
Random Forest (best of 12 models built)
Trained on
4,409 rows

Certificate · holdout, 161 rows that took no part in choosing the winner

Balanced-accuracy lift
31.6% (90% range 18.0–47.0%)
Balanced accuracy
65.8% vs 50.0% for the baseline
Baseline
Always predict the most common training class ('no')

Compare · all 322 held-out rows

The product marks these Compare figures as diagnostic: “These results do not establish predictive performance” (outcome timing was not declared for this run).

Correct
276 of 322

Run: model 9d7ae76b-5d7e-4f60-8a55-60887bdcf73f · tournament winequality_goodwine_20261028-213111 · completed 2026-10-28T21:33:04Z

Step 3

Download predictions and results

Predictions (CSV)

322 held-out rows: the feature values, the actual outcome, the prediction and its confidence.

Download CSV
Results (text)

The verdict, the certificate and Compare figures, and where the data came from.

Download results

The rows are numbered 1 to 322 in the order the product tested them (heldout_row). These are not row numbers from the original dataset: the split shuffled the rows.

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