Machine Learning Zoomcamp 2025

Homework 6: Decision Trees and Ensemble Learning Statistics

Distribution of scores and reported study time for this homework.

Submissions

393

Median total score

Average total score

Score distribution

All values are points.

Metric	Min	Q1	Median	Average	Q3	Max
Questions score	-	5.0	6.0	5.3	6.0	6
Learning in public score	-	0.0	0.0	0.7	0.0	7
Total score	-	5.0	6.0	6.0	6.0	14

Questions score

Min: -
Median: 6.0
Max: 6
Q1: 5.0
Avg: 5.3
Q3: 6.0

Learning in public score

Min: -
Median: 0.0
Max: 7
Q1: 0.0
Avg: 0.7
Q3: 0.0

Total score

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

Time distribution

All values are hours reported by students.

Metric	Min	Q1	Median	Average	Q3	Max
Lectures	0.0	3.0	5.0	6.8	6.0	190.0
Homework	0.0	2.0	3.0	3.7	4.0	42.0

Lectures

Min: 0.0
Median: 5.0
Max: 190.0
Q1: 3.0
Avg: 6.8
Q3: 6.0

Homework

Min: 0.0
Median: 3.0
Max: 42.0
Q1: 2.0
Avg: 3.7
Q3: 4.0

Question breakdown

Correctness and answer distribution per question.

1. Most important featute

374 / 393 correct (95.2%)

1 'vehicle_weight' 374 (95.2%)

2 'model_year' 15 (3.8%)

3 'origin' 1 (0.3%)

4 'fuel_type' 3 (0.8%)

2. RMSE on validation

366 / 393 correct (93.1%)

1 0.045 7 (1.8%)

2 0.45 366 (93.1%)

3 4.5 16 (4.1%)

4 45.0 4 (1.0%)

3. Number of estimators

351 / 393 correct (89.3%)

1 10 29 (7.4%)

2 25 12 (3.1%)

3 80 177 (45.0%)

4 200 174 (44.3%)

4. Best max_depth

326 / 393 correct (83.0%)

1 10 326 (83.0%)

2 15 15 (3.8%)

3 20 33 (8.4%)

4 25 16 (4.1%)

5. Most important feature

357 / 393 correct (90.8%)

1 vehicle_weight 357 (90.8%)

2 horsepower 13 (3.3%)

3 acceleration 3 (0.8%)

4 engine_displacement 18 (4.6%)

6. XGBoost eta

319 / 393 correct (81.2%)

1 0.3 54 (13.7%)

2 0.1 319 (81.2%)

3 Both give equal value 16 (4.1%)

Calculated: 12 November 2025, 19:58