https://github.com/kaylaipp/linking-writing-processes-to-writing-quality

Linking Writing Processes to Writing Quality
https://github.com/kaylaipp/linking-writing-processes-to-writing-quality

catboost-regressor feature-engineering linear-regression mlpregressor python random-forest-regression sklearn

Last synced: 16 days ago
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Linking Writing Processes to Writing Quality

• Host: GitHub
• URL: https://github.com/kaylaipp/linking-writing-processes-to-writing-quality
• Owner: kaylaipp
• Created: 2024-08-10T20:03:40.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-08-30T03:44:24.000Z (3 months ago)
• Last Synced: 2024-11-03T04:02:51.845Z (16 days ago)
• Topics: catboost-regressor, feature-engineering, linear-regression, mlpregressor, python, random-forest-regression, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 278 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Linking Writing Processes to Writing Quality

Kaggle Submission to "Linking Writing Processes to Writing Quality" Competition

https://www.kaggle.com/competitions/linking-writing-processes-to-writing-quality

The goal of this competition is to predict overall writing quality. Does typing behavior affect the outcome of an essay? You will develop a model trained on a large dataset of keystroke logs that have captured writing process features.

The following notebook applies feature engineering and compares several models and their performance against Root Mean Squared Error (RMSE)