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: about 2 months 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 (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-30T03:44:24.000Z (9 months ago)
- Last Synced: 2025-04-07T14:48:12.388Z (about 2 months 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
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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)