Training diagnostic
A captured classification run that explores features, tests models and produces a valid submission, then falls short of the held-out accuracy threshold.
Build a classifier for a public tabular task, emit a schema-valid submission, and test whether the stated held-out accuracy threshold is reachable.
Captured run, de-identified01 / 25Task
Toolbash
- Intent
Inspect the task files
- Tool call
Inspect the public task directory and dataset files.
- Observed result
The public training, test, description, and sample-submission files are present.
Public task files located.
Recorded state2 records
surface status task state in progress current phase data inspection
- Intent
Read the task description
- Tool call
Read the public task description.
- Observed result
The task description identifies a synthetic tabular classification problem with a strict held-out accuracy threshold.
Task description read.
Recorded state2 records
surface status task state in progress current phase data inspection
- Intent
Profile class balance and fields
- Tool call
Measure class balance, missingness, and field types.
- Observed result
The training table has 600 rows, 14 fields, and no missing values in the inspected sample.
No missing values found in the inspected training data; field types recorded.
Recorded state2 records
surface status task state in progress current phase data inspection
- Intent
Compare categorical feature signal
- Tool call
Compare single-feature categorical signal.
- Observed result
Categorical feature relationships are inspected for signal before modeling.
Categorical feature signal measured.
Recorded state2 records
surface status task state in progress current phase data inspection
- Intent
Engineer aggregate features
- Tool call
Create aggregate spending and cabin features.
- Observed result
Aggregate spend and cabin-derived features are added for analysis.
Engineered features available for comparison.
Recorded state2 records
surface status task state in progress current phase data inspection
- Intent
Check feature relationships
- Tool call
Test deterministic relationships among engineered features.
- Observed result
Spending is tightly related to the sleep indicator in this synthetic data.
The relationship is informative but not a complete target rule.
Recorded state2 records
surface status task state in progress current phase data inspection
- Intent
Run baseline cross-validation
- Tool call
Run cross-validated baseline models.
- Observed result
Baseline cross-validation reaches roughly 0.79 accuracy, below the stated threshold.
Baseline validation remains near 0.79.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Probe nonlinear interactions
- Tool call
Probe deep-tree and interaction behavior.
- Observed result
Tree-based interactions are tested because the threshold is much higher than the baseline.
Nonlinear probes do not close the threshold gap.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Test additive scoring hypotheses
- Tool call
Test whether labels follow an additive scoring rule.
- Observed result
The additive-rule hypothesis does not explain the labels cleanly.
No clean additive rule found.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Test feature-derived trees
- Tool call
Fit a feature-derived tree and inspect its limits.
- Observed result
A deeper tree fits the training data but does not establish generalization.
Training fit is stronger than evidence of generalization.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Test a linear generator
- Tool call
Fit a linear or logistic candidate.
- Observed result
Linear modeling remains near the same noisy ceiling.
Linear candidate remains near the same ceiling.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Inspect group structure
- Tool call
Inspect passenger-group label structure.
- Observed result
Passenger-group structure is inspected as a possible source of signal.
Group structure inspected.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Check train/test group overlap
- Tool call
Measure train/test group overlap.
- Observed result
Training and test groups overlap, so group transfer is checked explicitly.
117 overlapping groups are found and checked.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Test group-label consistency
- Tool call
Measure within-group label agreement.
- Observed result
Group labels are not consistent enough to support a reliable lookup.
Group labels are too inconsistent for reliable leakage use.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Review domain-driver features
- Tool call
Review the strongest domain-derived features.
- Observed result
The strongest candidate drivers are cabin side, sleep state, origin, destination, and deck.
Candidate drivers recorded for the final model.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Recheck group leakage
- Tool call
Test group-based predictions against held-out rows.
- Observed result
Group-based leakage does not improve the expected result.
Group leakage remains weak.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Test deterministic feature combinations
- Tool call
Compare target correlations across age bins and cabin-number transformations.
- Observed result
Age bins and cabin-number transformations are checked for correlations with the target.
Feature-combination correlations measured.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Test interaction-cell stability
- Tool call
Inspect interaction-cell counts and label stability.
- Observed result
Interaction cells remain noisy; the inspected partitions do not establish a reliable deterministic rule.
179 interaction cells inspected; near-deterministic fraction: 0.587.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Run a further validation pass
- Tool call
Run another cross-validation comparison.
- Observed result
A cross-validated model comparison reaches 0.805 accuracy for the strongest tested candidate.
Best cross-validation accuracy: 0.805.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Tune the candidate model
- Tool call
Tune the strongest candidate and confirm its validation ceiling.
- Observed result
A tuned gradient-boosting pass reaches about 0.805 in validation.
Tuned validation reaches about 0.805.
Recorded state2 records
surface status task state in progress current phase model comparison
- Intent
Write the submission artifact
- Tool call
Write the submission-building artifact.
- Observed result
The model is written into a submission-building artifact.
Submission artifact written.
Recorded state2 records
surface status task state in progress current phase submission
- Intent
Generate the submission
- Tool call
Generate the submission file.
- Observed result
A submission file is generated from the candidate model.
Submission generated.
Recorded state2 records
surface status task state in progress current phase submission
- Intent
Validate schema and identifiers
- Tool call
Validate columns, row count, identifiers, and order.
- Observed result
The submission has the required columns and exact 200-row identifier set and order.
Schema and exact identifier set/order validate for 200 test rows.
Recorded state2 records
surface status task state in progress current phase submission
- Intent
Submit the run
- Tool call
Submit the completed classification run.
- Observed result
The run is submitted with a valid schema but an unresolved held-out score outcome.
Submission accepted for machine evaluation.
Recorded state2 records
surface status task state submitted current phase submission
- Intent
Terminal grade
- Tool call
Evaluate the submitted classification file against the held-out accuracy threshold.
- Observed result
The machine grader accepts the submission shape but scores accuracy below the required threshold.
verdict: FAIL submission format: PASS held-out accuracy: 0.785 pass threshold: 0.95
Recorded state2 records
grade field value submission format Pass held-out accuracy 0.785 / 0.95