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.
|Author||Oldemar Rodriguez [aut, cre], Andrés Navarro [ctb, prg], Diego Jiménez [ctb, prg], Joseline Quirós [ctb, prg]|
|Maintainer||Oldemar Rodriguez <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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