This repository presents different classification models built on different algorithms to test which one works best. It turned out that Random Forest and Decision Tree based models performed the best with the accuracy of 97-98%, while accuracy of kNN, SVM and Logistic Regression varied between 53-73%
active 2025-01-16 → 2025-02-02 (UTC)
Activity over time
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Line chart, 18 days from 2025-01-16 to 2025-02-02. Pushes: 2 total, peak 1 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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Adil7777 | 2 | 2 | 0 | 0 |
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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.