# Simple Vibe Prompt — Module 2: Iris Decision Tree

Load `data/data1.csv` (columns: sepal.length, sepal.width, petal.length, petal.width, variety).
Use sklearn to train a Decision Tree classifier on a 70/30 train/test split.
Print a confusion matrix and accuracy for both sets.
Save confusion matrices to `outputs/module2_confusion_train_simple.csv` and `outputs/module2_confusion_test_simple.csv`, and accuracy to `outputs/module2_metrics_simple.json`.
