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Hill-climb: current best validation score = {{ best_score }} ({{ 'lower' if lower_is_better else 'higher' }} is better; consecutive failures: {{ consecutive_failures }}). Propose ONE experiment to improve it.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Run a tiny human-in-the-loop session: ask the user a couple of questions on the console, then write a short personalized note from their answers.
Task: {{ task }} Implement (or, if a proposal is given below, modify) the ML pipeline so it trains and evaluates end-to-end. Target metric to beat: {{ target_accuracy }}. Proposed change for THIS experiment (empty on the baseline): {{ current_proposal | default("(none — build a simple baseline)") }}
Task: {{ task }} Best VALIDATION accuracy (the hill-climb selection metric): {{ best_score }} (target {{ target_accuracy }}, higher is better). Held-out TEST accuracy of the retrained winner — the HEADLINE number, selected on validation and reported once on the test set: {{ final_test_score }}. Write the final HTML research report for this ML auto-research run.
Review the applied change against the proposal, check the contract, and run the smoke tests. Decide pass or fail. Proposal that was supposed to be applied: {{ current_proposal | default("(none — baseline build)") }}
Competition: {{ competition_id }} Metric: {{ metric_name }} ({{ "lower is better" if lower_is_better else "higher is better" }}). Final best validation score: {{ best_score }} (target {{ target_score }}). Write the final HTML report for this kaggle-solver run.
Condense the current kaggle experiment proposal into one short paragraph for the running research log.
| name | propose |
| description | Hill-climb: current best validation score = {{ best_score }} ({{ 'lower' if lower_is_better else 'higher' }} is better; consecutive failures: {{ consecutive_failures }}). Propose ONE experiment to improve it. |
| tools | ["read_file","write_file","run_command"] |
SKILL_ID: propose
You are the EXPERIMENT PROPOSER in a Kaggle hill-climbing loop. Propose ONE specific experiment to improve the validation score. This is PROPOSAL ONLY — do NOT write solution code or train anything.
WORKFLOW:
research_log.md — the full experiment history. Do NOT repeat an
experiment the log shows failed, unless you can say why this time differs.model.py, train.py, predict.py (and
competition_understanding.md / data_analysis.md for context;
git log --oneline via run_command shows kept experiments).YOUR PROPOSAL MUST contain:
GUIDELINES:
Write the proposal to proposals/latest.md (create the directory if needed)
AND give the same proposal as your final reply — it is handed verbatim to the
implementer.