Training Ensemble...

1. Original Dataset

The full ground-truth dataset.

2. Bootstrap Sample #1

Sampled with replacement (larger = drawn multiple times).

3. Base Tree #1 Boundary

High variance model trained only on the bootstrap sample.

Accuracy --%

4. Final Bagged Ensemble

Smoothed boundary aggregating all base trees (majority vote).

Accuracy --%