sboost

Machine Learning with AdaBoost on Decision Stumps

CRAN Package

Creates classifier for binary outcomes using Adaptive Boosting (AdaBoost) algorithm on decision stumps with a fast C++ implementation. For a description of AdaBoost, see Freund and Schapire (1997) doi:10.1006/jcss.1997.1504. This type of classifier is nonlinear, but easy to interpret and visualize. Feature vectors may be a combination of continuous (numeric) and categorical (string, factor) elements. Methods for classifier assessment, predictions, and cross-validation also included.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 154 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
7 downloadsMar 4, 2025
7 downloadsMar 5, 2025
15 downloadsMar 6, 2025
5 downloadsMar 7, 2025
1 downloadsMar 8, 2025
2 downloadsMar 9, 2025
3 downloadsMar 10, 2025
10 downloadsMar 11, 2025
11 downloadsMar 12, 2025
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2 downloadsMar 14, 2025
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2 downloadsMar 16, 2025
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1 downloadsMar 31, 2025
2 downloadsApr 1, 2025
2 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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15

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 1,903 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 23 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


Binaries


Dependencies

  • Imports3 packages
  • Suggests1 package
  • Linking To1 package