Training diagnostic

Excerpt from the recording

List the public task directory and inspect CSV headers; row payloads are withheld.

ls -la; echo "---"; ls -la public/

Summary

The public task directory and train/test/sample-submission files are present; CSV rows remain withheld.

Excerpt from the recording

Read the public task description.

public/description.md

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The task is binary classification scored by accuracy, with a strict held-out threshold.

9	Binary classification.
12	**Classification accuracy** — the fraction of predicted labels that are correct. Higher is better.

Withheld: analysis code and row values

Run the tabular profile analysis.

Excerpt from the recording

The inspected training table has 600 rows, a 342/258 class split, and no missing values.

True     342
False    258

Withheld: analysis code and row values

Measure grouped target rates for categorical features.

Summary

Categorical rates are recorded; destination and sleep state are informative but not decisive.

Withheld: analysis code and row values

Add spend, deck, and side features.

Summary

Spend/no-spend and deck/side relationships are recorded for later model comparisons.

Withheld: analysis code and row values

Measure numeric and engineered feature relationships.

Summary

Engineered feature relationships are measured; no single feature establishes the target rule.

Withheld: analysis code

Run the baseline model comparison.

Excerpt from the recording

The baseline model outputs remain below the stated threshold.

hgb 0.7733 [0.775 0.783 0.725 0.775 0.808]
rf 0.7917 [0.842 0.775 0.725 0.825 0.792]
lr 0.785 [0.8   0.75  0.808 0.792 0.775]

Withheld: analysis code

Run nonlinear model probes.

Summary

Nonlinear probes do not close the threshold gap.

Withheld: analysis code

Fit and inspect additive scoring hypotheses.

Summary

No clean additive rule is found.

Withheld: analysis code

Fit and inspect a feature-derived tree.

Summary

Training fit is stronger than evidence of generalization.

Withheld: analysis code

Fit a linear candidate.

Summary

The linear candidate remains near the same noisy ceiling.

Withheld: analysis code and row identifiers

Measure group structure.

Summary

Group structure is inspected.

Withheld: analysis code and row identifiers

Measure group overlap.

Excerpt from the recording

Overlapping groups are found and checked.

group overlap: 117 train groups 312 test groups 148

Withheld: analysis code and row identifiers

Measure within-group label agreement.

Summary

Group labels are too inconsistent for reliable leakage use; the later leave-one-out check records accuracy 0.529.

Withheld: analysis code and row values

Review candidate feature drivers.

Summary

Candidate drivers are recorded for the final model.

Withheld: analysis code and row identifiers

Test group-based predictions.

Summary

Group leakage remains weak.

Withheld: analysis code and row values

Measure age-bin and cabin-number relationships.

Summary

Age-bin and cabin-number relationships are measured.

Withheld: analysis code and row values

Inspect interaction cells.

Excerpt from the recording

The interaction cells are small and noisy.

cells 179 near-det frac by count 0.587

Withheld: analysis code

Compare candidate models with cross-validation.

Excerpt from the recording

The strongest observed validation results are recorded below.

hgb 0.805
rf 0.7967
et 0.7917
svc 0.7833
lr 0.775

Withheld: analysis code

Run the tuning pass.

Excerpt from the recording

The tuning pass records the following validation outputs.

ensemble 0.805
hgb 0.05 2 0.8083
hgb 0.1 4 0.785

Withheld: generated model source

path: [stable submission-builder alias]; model source withheld.

Summary

The submission-building artifact was written; its original output filename and model source are withheld.

Withheld: implementation command

Execute the submission-building script.

Excerpt from the recording

A 200-row submission artifact is generated.

CV accuracy: 0.8100 +/- 0.0470
True     105
False     95

Withheld: submission rows and identifiers

Inspect and validate the generated submission.

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Required columns, exact 200-row identifier set/order, and boolean target values validate.

cols ['PassengerId', 'Transported']
ids match True
order match True
dtype bool [ True False]

Withheld: final agent summary

Submit the completed run.

Excerpt from the recording

The schema-valid submission is accepted for machine evaluation.

done