https://github.com/johanmodin/kaggle-unintended-bias-nlp-competition

A solution for the Kaggle competition "Jigsaw Unintended Bias in Toxicity Classification".
https://github.com/johanmodin/kaggle-unintended-bias-nlp-competition

Last synced: 16 days ago
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A solution for the Kaggle competition "Jigsaw Unintended Bias in Toxicity Classification".

• Host: GitHub
• URL: https://github.com/johanmodin/kaggle-unintended-bias-nlp-competition
• Owner: johanmodin
• Created: 2019-04-08T08:06:36.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-11-14T14:41:04.000Z (about 5 years ago)
• Last Synced: 2024-10-11T11:21:12.388Z (3 months ago)
• Language: Python
• Size: 10.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Unintended-Bias-in-Toxicity-Classification

A solution for the Kaggle competition [Jigsaw Unintended Bias in Toxicity Classification](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview).

The solution's performance placed it at 1056 out of the 3165 teams, however without using any pretrained networks, compared to the majority of the other solutions. Participation in the competition was done as a project in the course EDAN70 Project in Computer Science.