Machine Learning Zoomcamp 2025
Homework 4: Evaluation Metrics for Classification Statistics
Distribution of scores and reported study time for this homework.
Score distribution
All values are points.
| Metric |
Min |
Q1 |
Median |
Average |
Q3 |
Max |
| Questions score |
- |
4.0 |
5.0 |
4.5 |
5.0 |
6 |
| Learning in public score |
- |
0.0 |
0.0 |
0.7 |
0.8 |
7 |
| Total score |
- |
4.0 |
5.0 |
5.3 |
6.0 |
14 |
Questions score
- Min
- -
- Median
- 5.0
- Max
- 6
- Q1
- 4.0
- Avg
- 4.5
- Q3
- 5.0
Learning in public score
- Min
- -
- Median
- 0.0
- Max
- 7
- Q1
- 0.0
- Avg
- 0.7
- Q3
- 0.8
Total score
- Min
- -
- Median
- 5.0
- Max
- 14
- Q1
- 4.0
- Avg
- 5.3
- 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 |
6.2 |
7.0 |
106.0 |
| Homework |
0.0 |
2.0 |
3.0 |
4.1 |
5.0 |
60.0 |
Lectures
- Min
- 0.0
- Median
- 4.0
- Max
- 106.0
- Q1
- 3.0
- Avg
- 6.2
- Q3
- 7.0
Homework
- Min
- 0.0
- Median
- 3.0
- Max
- 60.0
- Q1
- 2.0
- Avg
- 4.1
- Q3
- 5.0
Question breakdown
Correctness and answer distribution per question.
1. ROC AUC feature importance
608 / 680 correct
(89.4%)
1
lead_score
40 (5.9%)
2
number_of_courses_viewed
610 (89.7%)
3
interaction_count
20 (2.9%)
4
annual_income
8 (1.2%)
2. Model AUC
649 / 680 correct
(95.4%)
1
0.32
4 (0.6%)
2
0.52
21 (3.1%)
3
0.72
426 (62.6%)
4
0.92
225 (33.1%)
3. Precision and recall
379 / 680 correct
(55.7%)
1
0.145
10 (1.5%)
2
0.345
49 (7.2%)
3
0.545
380 (55.9%)
4
0.745
235 (34.6%)
4. F1 score
516 / 680 correct
(75.9%)
1
0.14
10 (1.5%)
2
0.34
57 (8.4%)
3
0.54
517 (76.0%)
4
0.74
87 (12.8%)
5. 5-Fold CV standard deviation
411 / 680 correct
(60.4%)
1
0.0001
11 (1.6%)
2
0.006
156 (22.9%)
3
0.06
411 (60.4%)
4
0.36
91 (13.4%)
6. Best C
506 / 680 correct
(74.4%)
1
0.000001
54 (7.9%)
2
0.001
507 (74.6%)
3
1
110 (16.2%)
Calculated:
27 October 2025, 19:03