0121 896 121896638 qa 2

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): - WA_Fn-UseC_-HR-Employee-Attrition.csv Installed: pandas, numpy, matplotlib, seaborn, scipy, scikit-learn, statsmodels, tabulate, sqlite3, plotly (pip install more if needed). Question: Does increasing the number of leaf nodes in the Decision Tree model improve its performance on the validation set, as indicated by the Mean Absolute Error (MAE)? 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.