Naive Bayes is a classification algorithm that is based on Bayes' theorem. It is a simple but powerful algorithm that can be used to classify data into different categories. Naive Bayes works by assuming that the features of a data point are independent of each other, given the class label. , but it often works well in practice.
active 2023-10-05 → 2023-10-05 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-10-05 to 2023-10-05. Pushes: 2 total, peak 2 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 |
|---|---|---|---|---|
| AMIT110409 | 2 | 2 | 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.