Questions score
- Min
- 2
- Median
- 5.0
- Max
- 6
- Q1
- 5.0
- Avg
- 5.1
- Q3
- 6.0
Machine Learning Zoomcamp 2025
Homework 5: Deploying Machine Learning Models Statistics
Distribution of scores and reported study time for this homework.
Submissions
537
Median total score
5
Average total score
6
Score distribution
All values are points.
Learning in public score
- Min
- -
- Median
- 0.0
- Max
- 7
- Q1
- 0.0
- Avg
- 0.7
- Q3
- 1.0
Total score
- Min
- 2
- Median
- 5.0
- Max
- 14
- Q1
- 5.0
- Avg
- 5.9
- Q3
- 6.0
Time distribution
All values are hours reported by students.
Lectures
- Min
- 0.0
- Median
- 5.0
- Max
- 116.0
- Q1
- 3.0
- Avg
- 7.3
- Q3
- 7.0
Homework
- Min
- 0.0
- Median
- 3.0
- Max
- 48.0
- Q1
- 2.0
- Avg
- 4.5
- Q3
- 5.0
Question breakdown
Correctness and answer distribution per question.
1. uv version
537 / 537 correct (100.0%)
| Answer | Count |
|---|---|
| 0.9.5 | 196 |
| uv 0.9.5 | 58 |
| 0.9.7 | 49 |
| 0.9.6 | 41 |
| uv 0.9.5 (d5f39331a 2025-10-21) | 30 |
| uv 0.9.6 | 15 |
| uv 0.9.7 | 14 |
| 0.9.4 | 9 |
| 0.8.22 | 6 |
| uv-0.9.5 | 5 |
| 0.7.12 | 5 |
| uv 0.9.7 (0adb44480 2025-10-30) | 5 |
| 0.38.0 | 4 |
| 2025.0.4 | 4 |
| 0.6.14 | 4 |
| 0.4.26 | 3 |
| uv 0.9.6 (265224465 2025-10-29) | 3 |
| 0.9.8 | 3 |
| uv 0.9.3 (83635a6c4 2025-10-15) | 2 |
| 0.6.10 | 2 |
| 0.8.19 | 2 |
| 0.8.13 | 2 |
| 0.8.17 | 2 |
| uv 0.9.4 | 2 |
| uv 0.9.8 | 2 |
| uv 0.8.18 (c4c47814a 2025-09-17) | 2 |
| 0.8.15 | 2 |
| 0.8.14 | 1 |
| 0.8.4 | 1 |
| 0.95 | 1 |
| uv 0.9.0 (39b688653 2025-10-07) | 1 |
| uv 0.8.17 (10960bc13 2025-09-10) | 1 |
| 0.35.0 | 1 |
| 0.9.5 (d5f39331a 2025-10-21) | 1 |
| uv --version = 0.9.5 | 1 |
| uv version: 0.9.5 | 1 |
| uv 0.7.16 | 1 |
| uv 0.4.18 | 1 |
| uv 0.2.14 | 1 |
| 0.14.0 | 1 |
| uv 0.8.3 | 1 |
| u.v 0.9.5 | 1 |
| 0.4.x | 1 |
| 0.1.38 | 1 |
| uv 0.5.1 | 1 |
| 0.4.2 | 1 |
| 0.7.20 | 1 |
| uv 0.7.20 (251420396 2025-07-09) | 1 |
| 2.3.1 | 1 |
| 3.13 | 1 |
| uv 0.8.23 (00d3aa378 2025-10-04) | 1 |
| uv-0.9.7 | 1 |
| 0.7.8 | 1 |
| 1.6.1 | 1 |
| UV version information collected | 1 |
| uvicorn 0.38.0 | 1 |
| d5f39331a 2025-10-21 | 1 |
| uv 0.9.5 (Homebrew 2025-10-21) | 1 |
| 0.9.2 | 1 |
| uv 0.4.22 | 1 |
| uv 0.8.17 | 1 |
| uv version **0.9.5** (via `uv self version`). | 1 |
| uv 0.8.22 (ade2bdbd2 2025-09-23) | 1 |
| uv 0.6.3 | 1 |
| 0.7.15 | 1 |
| @brukeg ➜ /workspaces/machine-learning-zoomcamp/05-deployment/homework (main) $ uv --version uv 0.9.5 | 1 |
| 0.8.24 | 1 |
| 0.8.18 | 1 |
| ['uv 0.9.4'] | 1 |
| uv 0.7.21 (77c771c7f 2025-07-14) | 1 |
| uv 0.8.5 | 1 |
| 0.6.4 | 1 |
| 0.5.4 | 1 |
| 0.7.11 (90a4416ab 2025-06-04) | 1 |
| uv -0.9.7 | 1 |
| uv 0.8.12 | 1 |
| uv 0.4.20 | 1 |
| uv0.9.6 | 1 |
| uv 0.8.9 | 1 |
| 0.9.0 | 1 |
| uv 0.3.2 | 1 |
| 0.6.4 (04db70662 2025-03-03) | 1 |
| 0.6.5 | 1 |
| A/ uv 0.8.18 | 1 |
2. Scikit-Learn hash
537 / 537 correct (100.0%)
| Answer | Count |
|---|---|
| sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e | 295 |
| sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55 | 34 |
| b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e | 23 |
| sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda | 19 |
| sha256:926f207c804104677af4857b2c609940b743d04c4c35ce0ddc8ff4f053cddc1b | 11 |
| sha256:2ffa1e9e25b3d93990e74a4be2c2fc61ee5af85811562f1288d5d055880c4322 | 9 |
| sha256:0650e730afb87402baa88afbf31c07b84c98272622aaba002559b614600ca691 | 9 |
| sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e | 6 |
| "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e" | 4 |
| sha256:a7d018bfedb375a8d979ac758b120ba846a7fe764911a64465fd87b8729f4a6a | 4 |
| sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e", size = 7068312, upload-time = "2025-01-10T08:07:55.348Z | 4 |
| sha256:2e69fab4ebfc9c9b580a7a80111b43d214ab06250f8a7ef590a4edf72464dd86 | 3 |
| 2ea97159a5b64e9c72460db443b6ec6904e06cfafb13a52716d85d56b424b9ef | 3 |
| 0650e730afb87402baa88afbf31c07b84c98272622aaba002559b614600ca691 | 2 |
| sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902 | 2 |
| sha256:3b2d4f31b18fa293d6f10e1e5da90cb6d4b6ce9b8eb6b5e28dc5aefeda3cc0f3 | 2 |
| sha256:5f21f37b267a3a8c1187a47a9fa4e48c50f474c6405cc8e556f1bda4f3f8df3f | 2 |
| 3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55 | 2 |
| hash = "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e" | 2 |
| sha256:0486c8f827c2e7b64837c731c8feff72c0bd2b998067a8a9cbc10643c31f0fe1 | 2 |
| sha256 | 2 |
| sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96 | 2 |
| sha256:889953930ce2c51083e95079a4993a207ff0f1a92e1cc77484433010f3c50974 | 2 |
| 7D17D2E4DFBAF1E408E1A62E6E880D49 | 2 |
| sha256:0c275a06c5190c5ce00af0acbb61c0633d8d8c6e6e32ecceb61e5d781d7a9c9b | 1 |
| "sha256:8d91a97fa2b706943822398ab943cde71858a50245e31bc71dba62aab1d60a96" | 1 |
| --hash=sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55 | 1 |
| Scikit version: 1.6.1 | 1 |
| hash = "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e", size = 7068312, upload-time = "2025-01-10T08:07:55.348Z | 1 |
| "sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda | 1 |
| version = 1 revision = 3 requires-python = ">=3.9" [[package]] name = "homework-5" version = "0.1.0" source = { virtual = "." } | 1 |
| "adb15e5c5a21f13e221698df1bb36dc8d3bee16bb778fdfcad74b126616757b9" | 1 |
| sha256:20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda", size = 7193136, upload-time = "2025-09-09T08:21:29.075Z | 1 |
| sha256:e29554e2bef54a90aa5cc07da6ce955accb83f21ab5de01a62c8478897b264fd | 1 |
| sha256:0d64a1fb7d6dff7d951772b8b68da6dd2c94c9af547c1313c16e0b6f17d8f8a1 | 1 |
| b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c597 | 1 |
| sha256:72c842b102b37996c9c7f21223e7f918e7e1f7481f3b8909403d508935c1064a | 1 |
| sha256:3a8df9e5902315f8e7cdee68be4c332e7f704ed5986d679cde00db395ce8e726 | 1 |
| d4c3b2a | 1 |
| sha256:f1267425f1c97a5180f1241f92e21b711d9435b0e515d909d73d63b2a59a7217 | 1 |
| d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e | 1 |
| sha256:1da1c82b0fc140bb0103bc1441ffe062154c8d38491189751ee00fd8ca65ce74 | 1 |
| sha256=G3TgLQy45lAgkRJHh_yRaVud2SycsUbZ00gw-aMAqzw,2628 | 1 |
| sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 | 1 |
| 1.6.1 Check uv.lock after installation | 1 |
| sha256:93a621a6f6b8e8ddfbbf7c0c34262a77a6adf908dfb0808a29f7d421edbb2b45 | 1 |
| sha256:bd5a23a0e375da1f2d3ef420a0b7885c8fcd083e9d8d7f9f2a6b8215f3c4e6ad | 1 |
| --hash=sha256:0650e730afb87402baa88afbf31c07b84c98272622aaba002559b614600ca691 \ | 1 |
| sdist = { url = "https://files.pythonhosted.org/packages/9e/a5/4ae3b3a0755f7b35a280ac90b28817d1f380318973cff14075ab41ef50d9/scikit_learn-1.6.1.tar.gz", hash = "sha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e", size = 7068312, upload-time = "2025-01-10T08:07:55.348Z" | 1 |
| sha256:8c6bbfa09a7f8e0a6fd2f64d8d2c6ef3ef1a998f0547f73b8a1e2b8a8b7c1b19 | 1 |
| sha256:01e87659402762f43bd2fee13370553a17ada367d42e7487800bf2916535aecb | 1 |
| 7d17d2e4dfbaf1e408e1a62e6e880d49 | 1 |
| sha256:57dc4deb1d3762c75d685507fbd0bc17160144b2f2ba4ccea5dc285ab0d0e973 | 1 |
| 3.5 | 1 |
| 3508001 | 1 |
| hash = "sha256:926f207c804104677af4857b2c609940b743d04c4c35ce0ddc8ff4f053cddc1b", size = 12104516, upload-time = "2025-01-10T08:06:40.009Z" | 1 |
| "The uv.lock file generated by the latest version of uv does not include a hash (sha256) for the package." | 1 |
| sha256:a7d018bfedb375a8d979ac758b120ba846a7fe764911a64465fd87b8729f4a6a", size = 20582187, upload-time = "2025-10-15T16:18:11.77Z | 1 |
| sha256:3faa5c39054b2f03ca547da9b2f52fde67c06240c31853f306aea97f13647b55", size = 331077, upload-time = "2025-08-27T12:15:46.575Z | 1 |
| sha256:9e2e9c5ccf92ce9c61a3e9f7dc0ab2e01f7e0463da87c617a24df3b8d9d5b1bb | 1 |
| returns an integer value representing the input object | 1 |
| 0.2.21 | 1 |
| sha256: 20e9e49ecd130598f1ca38a1d85090e1a600147b9c02fa6f15d69cb53d968fda | 1 |
| 1.6.1 | 1 |
| Scikit-learn hash calculated | 1 |
| sha256:5b0a7f014d9cb153b9826c063cbd1fb5e3b92ebdd1a3c8e3e965efb6be4f4a47 | 1 |
| sha256:03b6158efa3faaf1feea3faa884c840ebd61b6484167c711548fce208ea09445 | 1 |
| 51608576 | 1 |
| sha256:acb1234567890def1234567890abcdef1234567890abcdef1234567890abcdef | 1 |
| sha256:0151a0749efeaaab78711c78422d413c583b8cdd2011a3c1d6c794938ee9fdb2 | 1 |
| sha256:ff3d8d4f9b726c1ed40d28b982c332ce0d4237b5a0f6505c8288f7f879309a7e | 1 |
| First scikit-learn 1.6.1 hash | 1 |
| 0f4e3c1d33f5d5f9c2c3d0e9b5e7c5d89e3e4f3b1efe7c93a047a5c8d8e3e1b5 | 1 |
| sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf | 1 |
| ha256:926f207c804104677af4857b2c609940b743d04c4c35ce0ddc8ff4f053cddc1b | 1 |
| sha256:72abc587c75234935e97d09aa4913a82f7b03ee0b74111dcc2881cba3c5a7b33 | 1 |
| sha256=NcvXVeYGFKansD_SnD6Vd57T6ZEzP36eWUd5eRbdLjc | 1 |
| 486833d77aa752cb0e5dfa4fccb0ccfd92e3647f35a80307b1ed923efe650c86 | 1 |
| 2c2cae262064e6a9b77eee1c8e768fc46aa0b8338c6a8297b9b6759720ec0ff2 scikit_learn-1.6.1-cp312-cp312-macosx_12_0_arm64.whl | 1 |
| sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e | 1 |
| af029b153d243a80afb6eabe40b0a07f8e35c9adc269c019f364ad747f826a6b | 1 |
| sha256:5d8e0f78a7a9b71bda4e982b42b63d3f7c0e1bca1a4a32f53a37e0b7e9271e43 | 1 |
| scikit-learn==1.6.1 | 1 |
| sha256:0108521f7c740b3c6396b931e9c201d4b12df0f0a51e6b363579d1502c3132e0 | 1 |
| --hash=sha256:850a00b559e636b23901aabbe79b73dc604b4e4248ba9e2d6e72f95063765603 | 1 |
| sha256:4e1f0bdbb987e6d843c70cf43714cb276623def372df3c22fe5266b2670bc241 | 1 |
| sha256:02b1dec1a71e990ceed2f47009bcf8679d55e45d928c0c7cd0e9e5f94612f3ff | 1 |
| "sha256:0650e730afb87402baa88afbf31c07b84c98272622aaba002559b614600ca691" | 1 |
| FeatureHasher | 1 |
| sha256:d8c6b1248a3c5095311271109b01e3099c08d9630f5d506d8b61c92d5c3fa98e | 1 |
| sha256:8a7517c898edcb197b54d6f9702e37e541f40398262742f53360e71c37736a57 | 1 |
| sha256:7f0e9b79b7321bfe5731e3c0f6f813ab1f76bb8a687e8a1c16b15c5b37edb3e1 | 1 |
| sha256:b4fc2525eca2ebfc8ccea81c6da557cab307f2c34b5f85b628e94803f9c0bf5faee | 1 |
| 13679981fdaebc10cc4c13c43344416a86fcbc61449cb3e6517e1df9d12c8309 | 1 |
| 926f207c804104677af4857b2c609940b743d04c4c35ce0ddc8ff4f053cddc1b | 1 |
| !uv add 'scikit-learn==1.6.1' | 1 |
| ha256:b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e | 1 |
3. Lead score (v1)
493 / 537 correct (91.8%)
1
0.333
9 (1.7%)
2
0.533
493 (91.8%)
3
0.733
25 (4.7%)
4
0.933
3 (0.6%)
4. Lead score (v2)
487 / 537 correct (90.7%)
1
0.334
3 (0.6%)
2
0.534
487 (90.7%)
3
0.734
29 (5.4%)
4
0.934
6 (1.1%)
5. Docker image size
492 / 537 correct (91.6%)
1
45 MB
24 (4.5%)
2
121 MB
430 (80.1%)
3
245 MB
62 (11.5%)
4
330 MB
6 (1.1%)
6. Lead score (v3)
186 / 537 correct (34.6%)
1
0.39
10 (1.9%)
2
0.59
267 (49.7%)
3
0.79
51 (9.5%)
4
0.99
186 (34.6%)
Calculated: 22 November 2025, 12:49