KCSNBShiny: Naive Bayes Classifier

Predicts any variable in any categorical dataset for given values of predictor variables. If a dataset contains 4 variables, then any variable can be predicted based on the values of the other three variables given by the user. The user can upload their own datasets and select what variable they want to predict. A 'handsontable' is provided to enter the predictor values and also accuracy of the prediction is also shown.

Version: 0.1.0
Imports: shiny, rhandsontable, dplyr, caret, e1071
Published: 2019-07-01
DOI: 10.32614/CRAN.package.KCSNBShiny
Author: Karne Chaithanya Sai
Maintainer: Karne Chaithanya Sai <karnechaithanyasai at gmail.com>
License: GPL-2
URL: https://karnechaithanyasai.shinyapps.io/KCSNBShiny/
NeedsCompilation: no
CRAN checks: KCSNBShiny results


Reference manual: KCSNBShiny.pdf


Package source: KCSNBShiny_0.1.0.tar.gz
Windows binaries: r-devel: KCSNBShiny_0.1.0.zip, r-release: KCSNBShiny_0.1.0.zip, r-oldrel: KCSNBShiny_0.1.0.zip
macOS binaries: r-release (arm64): KCSNBShiny_0.1.0.tgz, r-oldrel (arm64): KCSNBShiny_0.1.0.tgz, r-release (x86_64): KCSNBShiny_0.1.0.tgz, r-oldrel (x86_64): KCSNBShiny_0.1.0.tgz


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