# Simple Vibe Prompt — Module 6: Iris — Keras, Decision Tree, Random Forest

Load `data/data1.csv` (Sepal_Length, Sepal_Width, Petal_Length, Petal_Width, Species). Use a 70/30 stratified split with StandardScaler normalisation.

Train three classifiers and print train/test accuracy and a confusion matrix for each:
1. Keras Sequential: Dense(8, relu) → Dense(3, softmax), Adam, 100 epochs
2. sklearn DecisionTreeClassifier (max_depth=4)
3. sklearn RandomForestClassifier (n_estimators=100)

Save confusion matrices and a combined metrics file to `outputs/` with `_simple` suffix.
