Abhivesh-Shukla/Predicting_Illnesses_through_Ensemble_Voting_Classifier_Machine-Learning
View on GitHub ↗Related repositories →This repository implements a machine learning-based disease prediction system using the GitHub Collaborative Disease-Symptom Dataset. It employs models like Random Forest and K-Nearest Neighbors, leveraging confusion matrices for performance evaluation. Key technologies include Python, scikit-learn, pandas, NumPy, Matplotlib, and seaborn.
active 2024-06-26 → 2024-12-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 171 days from 2024-06-26 to 2024-12-13. Pushes: 7 total, peak 3 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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- Pull requests
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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 |
|---|---|---|---|---|
| Abhivesh-Shukla | 6 | 6 | 0 | 0 |
| Tam-collab | 3 | 1 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.