https://github.com/wwbrannon/rpy_example

An example of data cleaning and supervised learning in R and Python, for comparison
https://github.com/wwbrannon/rpy_example

Last synced: 9 days ago
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An example of data cleaning and supervised learning in R and Python, for comparison

• Host: GitHub
• URL: https://github.com/wwbrannon/rpy_example
• Owner: wwbrannon
• Created: 2015-04-14T05:07:30.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-04-17T12:52:56.000Z (over 9 years ago)
• Last Synced: 2023-08-01T07:22:29.199Z (over 1 year ago)
• Language: R
• Size: 1.34 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
I don't (as of the start of this project) know how to use scikit-learn or pandas

well at all. Let's fix that.

Here's the setup: I have a dataset from a 1994 Census survey of individuals, with

demographic and economic traits, and a binary indicator for whether the individual made

more than $50,000 a year. I've taken this dataset, explored and cleaned it, and

set up a model bake-off to see how well I can predict the high-income indicator.

I'll conduct the same analysis a) in R, b) with pandas / scikit-learn in Python.

This is much more about me picking up the scikit-learn API than it is about good

predictive performance :-)

## Measures of performance:

 - inspecting a confusion matrix

 - the ROC curve, plotted

 - the area under the ROC curve

## TODO:

 - the R should use caret

 - the python version