Skip to content

This project focuses on using Support Vector Machines (SVM) to classify human cell records as benign or malignant, aiding in early detection of potentially cancerous cells. SVM is a powerful supervised learning algorithm that maps data into a high-dimensional space to find an optimal hyperplane separating different classes.

active 2025-03-06 → 2025-03-07 (UTC)

Complete coverage27,384 / 27,384 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-28 (UTC)
Events
7
Pushes
5
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2025-03-06 to 2025-03-07. Pushes: 5 total, peak 4 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

ContributorContributionsPushesPRsComments
ilsam995500

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.