random-forest-classifier
A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.
- Latest release
- Jun 26, 2014
- Releases
- 6
- Known CVEs
- 0
- First release
- Jun 15, 2014
- License
- MIT
Repository
Source
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Insights
Activity
- Total releases
- 6
- Last 12 months
- 0
- Cadence
- ~daily
- Dependencies
- 2
Releases per month
last 12 monthsRelease mix
- minor 4
- patch 1
6
releases
Dependencies
Depends on
0.6.0-
async
^0.9.0
-
underscore
^1.6.0
Used by
1Releases
| Version | Released | |
|---|---|---|
0.6.0
minor
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0.5.0
minor
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0.3.1
patch
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0.3.0
minor
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0.2.0
minor
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0.0.1
initial
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