HF RL Explorer

Task 163

Task 163: test task in FineEnvs/smoldataenv-multi-harness-whitebox, an RL environment on the Hugging Face Hub. You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - data.csv…

The task

You are a data-analysis agent working in a sandbox. Use your code-execution tool to inspect the files and compute the answer. Files (in /home/user/input, no subfolders): - data.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). Question: What is the final test accuracy of the Random Forest model using 18 trees on the holdout test set after feature selection based on mean features? Work it out step by step — inspect the data first (head, shape, dtypes), then compute. Answer with a single clean value: a bare number (no commas or units, e.g. 95293), a short label, yes/no, or a comma-separated list. Keep decimal precision. If there's no applicable answer, write: Not Applicable Write only that value to /workdir/answer.txt (e.g. `echo -n "<value>" > /workdir/answer.txt`), then stop.

Task details

difficulty
hard