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.
Activity
- Latest release
- 12y ago
- Total releases
- 6
- Cadence
- ~daily
- Last 12 months
- 0
Details
- License
- MIT
- First release
- Jun 15, 2014
Releases
| Version | Released | |
|---|---|---|
0.6.0
minor
| ||
0.5.0
minor
| ||
0.3.1
patch
| ||
0.3.0
minor
| ||
0.2.0
minor
| ||
0.0.1
initial
|