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Homework 6: Decision Trees and Ensemble Learning for Machine Learning Zoomcamp 2025

Due date: 2025-11-03T23:00:00+00:00 (local time)

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Question 1. Most important featute (1 point)

'vehicle_weight'

'model_year'

'origin'

'fuel_type'

Question 2. RMSE on validation (1 point)

0.045

0.45

4.5

45.0

Question 3. Number of estimators (1 point)

200

Question 4. Best max_depth (1 point)

Question 5. Most important feature (1 point)

vehicle_weight

horsepower

acceleration

engine_displacement

Question 6. XGBoost eta (1 point)

0.3

0.1

Both give equal value

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