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Marijkevandesteene/MachineLearning

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repo to share progress and to manage versions of exam MachineLearning (M14)

active 2024-05-272024-07-04 (UTC)

Complete coverage26,432 / 26,432 hourly files (100%) · 2 absent upstream2023-08-152026-08-20 (UTC)
Events
242
Pushes
67
Pull requests
58
Issues
55
Stars
0
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 39 days from 2024-05-27 to 2024-07-04. Pushes: 67 total, peak 8 in a day. Pull requests: 58 total, peak 9 in a day. Issues: 55 total, peak 11 in a day. Comments: 58 total, peak 11 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
Marijkevandesteene144672822
dluts5101819
binomaiheu4301217

Recent activity

Latest issues, pull requests and releases

  • Pull request#61Marijkevandesteene2024-07-04 10:16
  • Pull request#61dluts2024-07-03 16:10
  • Pull request#60dluts2024-07-03 15:35
  • Pull request#59Marijkevandesteene2024-07-03 15:22
  • Pull request#59dluts2024-07-03 15:21
  • Pull request#57dluts2024-07-03 11:07
  • Issue#53Marijkevandesteene2024-07-03 10:29
    Amelioration to Evaluate model on test set ; actual vs predicted
  • Issue#51Marijkevandesteene2024-07-03 10:29
    Export the predictions for all instances in score to csv
  • Issue#45Marijkevandesteene2024-07-03 10:28
    Applying SMOTE results in negative recall for random forest classifier
  • Issue#58Marijkevandesteene2024-07-03 10:03
    Issue with loading environment yaml
  • Pull request#57dluts2024-07-03 09:27
  • Pull request#56Marijkevandesteene2024-07-03 08:22
  • Issue#54Marijkevandesteene2024-07-03 08:08
    Plot predicted revenue for top 100 selection vs Random selection
  • Issue comment#46dluts2024-07-03 07:18
    Some reflections / to do on Final version
  • Issue comment#54dluts2024-07-03 07:14
    Plot predicted revenue for top 100 selection vs Random selection
  • Issue comment#39dluts2024-07-03 07:14
    Dealing with the missing data, dropping instances with more than 35 missing features.
  • Pull request#56dluts2024-07-03 06:53
  • Pull request#55Marijkevandesteene2024-07-03 05:44
  • Pull request#55dluts2024-07-02 23:27
  • Issue comment#45dluts2024-07-02 18:11
    Applying SMOTE results in negative recall for random forest classifier
  • Issue comment#46dluts2024-07-02 18:10
    Some reflections / to do on Final version
  • Issue comment#53dluts2024-07-02 18:03
    Amelioration to Evaluate model on test set ; actual vs predicted
  • Issue#54Marijkevandesteene2024-07-02 06:04
    Plot predicted revenue for top 100 selection vs Random selection
  • Issue#53Marijkevandesteene2024-07-02 04:24
    Amelioration to Evaluate model on test set ; actual vs predicted
  • Pull request#52Marijkevandesteene2024-07-02 04:21

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.