https://github.com/bblodfon/ml-course-2022
Benchmarking ML classification models on spam dataset
https://github.com/bblodfon/ml-course-2022
benchmark classification ml-course mlr3 spam spam-classification
Last synced: 4 months ago
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Benchmarking ML classification models on spam dataset
- Host: GitHub
- URL: https://github.com/bblodfon/ml-course-2022
- Owner: bblodfon
- Created: 2022-11-28T22:06:46.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-02T10:20:45.000Z (over 3 years ago)
- Last Synced: 2025-01-30T13:22:55.749Z (over 1 year ago)
- Topics: benchmark, classification, ml-course, mlr3, spam, spam-classification
- Language: HTML
- Homepage: https://bblodfon.github.io/ml-course-2022/
- Size: 5.74 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ml-course-2022
This repo is part of a series of lectures given at Oslo University Hospital during the fall of 2022 (ML course for Cancer Researchers).
Our aim is to show how different ML models can be tuned, trained and tested using the `spam` dataset.
Along the way, several Machine Learning principles (e.g. bias-variance trade-off) are demonstrated to gain further insight into each model's behavior.
We used the [mlr3](https://github.com/mlr-org/) ML framework for model building and evaluation.
A gitbook report is [available online](https://bblodfon.github.io/ml-course-2022/).