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cacayan2/classifier-DoS-project

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active 2025-11-262025-12-25 (UTC)

Complete coverage26,425 / 26,425 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
209
Pushes
37
Pull requests
0
Issues
132
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 30 days from 2025-11-26 to 2025-12-25. Pushes: 37 total, peak 7 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 132 total, peak 87 in a day. Comments: 36 total, peak 12 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
cacayan219123036
mnafisa1008800
Tha-Mar3300
SyedMoosa013300

Recent activity

Latest issues, pull requests and releases

  • Issue#112cacayan22025-12-10 09:08
    Assemble final notebook for submission
  • Issue#127cacayan22025-12-10 08:37
    Write basic Python unit tests for API
  • Issue comment#127cacayan22025-12-10 08:37
    Write basic Python unit tests for API
  • Issue comment#107cacayan22025-12-10 08:23
    Run API tests with Postman
  • Issue#106cacayan22025-12-10 07:05
    Validate preprocessing logic
  • Issue#104cacayan22025-12-10 05:37
    Implement deployment preprocessing pipeline
  • Issue#127cacayan22025-12-09 23:18
    Write basic Python unit tests for API
  • Issue#105cacayan22025-12-09 23:09
    Implement /predict endpoint
  • Issue comment#102cacayan22025-12-09 22:43
    Write ADR evaluation summary
  • Issue#101cacayan22025-12-09 22:27
    Validate final_features.json against model inputs
  • Issue comment#100cacayan22025-12-09 22:27
    Generate ROC curves
  • Issue#99cacayan22025-12-09 22:27
    Generate confusion matrices
  • Issue comment#99cacayan22025-12-09 22:27
    Generate confusion matrices
  • Issue comment#97cacayan22025-12-09 22:25
    Save trained models to disk
  • Issue#126cacayan22025-12-09 22:25
    Create performance summary table
  • Issue comment#126cacayan22025-12-09 22:25
    Create performance summary table
  • Issue comment#96cacayan22025-12-09 22:24
    Train complex models (Random Forest, Decision Tree, SVM)
  • Issue#94cacayan22025-12-09 22:22
    Decide and store scaling statistics
  • Issue comment#94cacayan22025-12-09 22:22
    Decide and store scaling statistics
  • Issue comment#93cacayan22025-12-09 22:20
    Write model helper functions
  • Issue#89cacayan22025-12-09 22:18
    Run K-means clustering (k=2)
  • Issue comment#89cacayan22025-12-09 22:18
    Run K-means clustering (k=2)
  • Issue#88cacayan22025-12-09 22:18
    Standardize numeric subset for multivariate EDA
  • Issue comment#88cacayan22025-12-09 22:18
    Standardize numeric subset for multivariate EDA
  • Issue comment#124cacayan22025-12-09 22:16
    Train-test split implementation

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.