Machine Learning Zoomcamp 2024
Homework 3: Machine Learning 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 |
1 |
5.0 |
5.0 |
5.3 |
6.0 |
6 |
| Learning in public score |
- |
0.0 |
0.0 |
0.7 |
1.0 |
7 |
| Total score |
1 |
5.0 |
6.0 |
6.1 |
6.0 |
14 |
Questions score
- Min
- 1
- Median
- 5.0
- 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
- 1.0
Total score
- Min
- 1
- Median
- 6.0
- Max
- 14
- Q1
- 5.0
- Avg
- 6.1
- 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 |
6.5 |
8.0 |
84.0 |
| Homework |
0.3 |
2.0 |
3.0 |
3.8 |
5.0 |
24.0 |
Lectures
- Min
- 0.0
- Median
- 5.0
- Max
- 84.0
- Q1
- 3.0
- Avg
- 6.5
- Q3
- 8.0
Homework
- Min
- 0.3
- Median
- 3.0
- Max
- 24.0
- Q1
- 2.0
- Avg
- 3.8
- Q3
- 5.0
Question breakdown
Correctness and answer distribution per question.
1. Mode for the column `education`
373 / 385 correct
(96.9%)
1
`unknown`
2 (0.5%)
2
`primary`
5 (1.3%)
3
`secondary`
376 (97.7%)
4
`tertiary`
1 (0.3%)
2. Two features with the biggest correlation
354 / 385 correct
(91.9%)
1
`age` and `balance`
12 (3.1%)
2
`day` and `campaign`
5 (1.3%)
3
`day` and `pdays`
9 (2.3%)
4
`pdays` and `previous`
357 (92.7%)
3. Variable with the biggest mutual information score
363 / 385 correct
(94.3%)
1
`contact`
4 (1.0%)
2
`education`
7 (1.8%)
3
`housing`
6 (1.6%)
4
`poutcome`
365 (94.8%)
4. Accuracy on the validation dataset
364 / 385 correct
(94.5%)
1
0.6
2 (0.5%)
2
0.7
6 (1.6%)
3
0.8
4 (1.0%)
4
0.9
367 (95.3%)
5. Feature with the smallest difference
382 / 385 correct
(99.2%)
1
`age`
108 (28.1%)
2
`balance`
85 (22.1%)
3
`marital`
103 (26.8%)
4
`previous`
77 (20.0%)
6. Smallest `C` that leads to the best accuracy on the validation set
196 / 385 correct
(50.9%)
1
0.01
51 (13.2%)
2
0.1
152 (39.5%)
3
1
101 (26.2%)
4
10
46 (11.9%)
5
100
23 (6.0%)
Calculated:
17 October 2024, 07:46