GenAlgo

Classes and Methods to Use Genetic Algorithms for Feature Selection

CRAN Package

Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.


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Insights

Last 30 days

This package has been downloaded 232 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.

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3 downloadsFeb 16, 2025
18 downloadsFeb 17, 2025
3 downloadsFeb 18, 2025
13 downloadsFeb 19, 2025
18 downloadsFeb 20, 2025
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9 downloadsFeb 23, 2025
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9 downloadsMar 17, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,660 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jun 18, 2024 with 42 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports3 packages
  • Suggests1 package