PROMiDAT/predictoR: Predictive Data Analysis System
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.
Getting started
Browse package contents
Package details |
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| Maintainer | |
| License | GPL (>=2) |
| Version | 3.0.5 |
| URL | https://promidat.website/ https://github.com/PROMiDAT/predictoR |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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