predictoR: Predictive Data Analysis System
In predictoR: Predictive Data Analysis System
Description
Perform a supervised data analysis on a database through a 'shiny' graphical interface.
It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting,
Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning,
Support Vector Machines and Bayesian Methods.
Details
Package: predictoR
Type: Package
Version: 2.0.1
Date: 2021-06-11
License: GPL (>=2)
Author(s)
Oldemar Rodriguez Rojas
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
predictoR documentation built on Oct. 13, 2021, 1:06 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
Details
| Package: | predictoR |
| Type: | Package |
| Version: | 2.0.1 |
| Date: | 2021-06-11 |
| License: | GPL (>=2) |
Author(s)
Oldemar Rodriguez Rojas
Maintainer: Oldemar Rodriguez Rojas <oldemar.rodriguez@ucr.ac.cr>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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