https://github.com/ajduberstein/titanic_predictions

A model to predict who lived or died on the Titanic
https://github.com/ajduberstein/titanic_predictions

Last synced: 25 days ago
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A model to predict who lived or died on the Titanic

• Host: GitHub
• URL: https://github.com/ajduberstein/titanic_predictions
• Owner: ajduberstein
• Created: 2014-04-11T03:58:40.000Z (over 10 years ago)
• Default Branch: master
• Last Pushed: 2014-04-13T02:10:43.000Z (over 10 years ago)
• Last Synced: 2023-03-27T17:13:29.180Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 172 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
titanic_predictions

===================

This is my initial submission to [the Titanic Kaggle competition](https://www.kaggle.com/c/titanic-gettingStarted)

using the Python [pandas](http://pandas.pydata.org/) library and [scikit-learn](http://scikit-learn.org/stable/).

The goal of this project is to answer a straightforward question: Given a list of attributes about Titanic passengers, can we predict who died and survived?

About 60% of passengers died, so a means model would be predicting death 100% of the time, which would have 60% accuracy.

This logistic regression model has a 72% accuracy on the test set, arguably a significant improvement on the naive means model.