The project is focused on building and evaluating machine learning models for the classification of iris flower species using the Iris dataset. This dataset contains measurements of four features (sepal length, sepal width, petal length, and petal width) for three different iris species (setosa, versicolor, and virginica).
active 2023-10-16 → 2023-10-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-10-16 to 2023-10-16. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Malbasahi | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.