Machine Learning Zoomcamp 2026

Homework 6: Decision Trees and Ensemble Learning Statistics

Distribution of scores and reported study time for this homework.

Submissions

348

Median total score

Average total score

Score distribution

All values are points.

Metric	Min	Q1	Median	Average	Q3	Max
Questions score	-	5.0	5.0	5.1	6.0	6
Learning in public score	-	0.0	0.0	0.6	0.0	7
Total score	-	5.0	5.0	5.8	6.0	14

Questions score

Min: -
Median: 5.0
Max: 6
Q1: 5.0
Avg: 5.1
Q3: 6.0

Learning in public score

Min: -
Median: 0.0
Max: 7
Q1: 0.0
Avg: 0.6
Q3: 0.0

Total score

Min: -
Median: 5.0
Max: 14
Q1: 5.0
Avg: 5.8
Q3: 6.0

Time distribution

All values are hours reported by students.

Metric	Min	Q1	Median	Average	Q3	Max
Lectures	0.0	3.0	4.0	6.1	7.0	48.0
Homework	0.0	1.5	2.0	3.2	4.0	20.0

Lectures

Min: 0.0
Median: 4.0
Max: 48.0
Q1: 3.0
Avg: 6.1
Q3: 7.0

Homework

Min: 0.0
Median: 2.0
Max: 20.0
Q1: 1.5
Avg: 3.2
Q3: 4.0

Question breakdown

Correctness and answer distribution per question.

1. Original splitting feature

332 / 348 correct (95.4%)

1 vehicle_weight 11 (3.2%)

2 model_year 332 (95.4%)

3 origin 2 (0.6%)

4 fuel_type 1 (0.3%)

2. RMSE on validation

332 / 348 correct (95.4%)

1 0.1837 14 (4.0%)

2 1.837 332 (95.4%)

3 18.37 0 (0.0%)

4 183.7 0 (0.0%)

3. Number of estimators

149 / 348 correct (42.8%)

1 10 8 (2.3%)

2 50 9 (2.6%)

3 100 149 (42.8%)

4 150 179 (51.4%)

4. Best max depth

323 / 348 correct (92.8%)

1 10 323 (92.8%)

2 15 7 (2.0%)

3 20 10 (2.9%)

4 25 2 (0.6%)

5. Most important feature

333 / 348 correct (95.7%)

1 vehicle_weight 333 (95.7%)

2 horsepower 3 (0.9%)

3 acceleration 5 (1.4%)

4 engine_displacement 2 (0.6%)

6. XGBoost eta

314 / 348 correct (90.2%)

1 0.3 22 (6.3%)

2 0.1 314 (90.2%)

3 Both give equal value 6 (1.7%)

Calculated: 9 November 2026, 13:02