Package: KCSNBShiny 0.1.0

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.

Authors:Karne Chaithanya Sai

KCSNBShiny_0.1.0.tar.gz
KCSNBShiny_0.1.0.zip(r-4.5)KCSNBShiny_0.1.0.zip(r-4.4)KCSNBShiny_0.1.0.zip(r-4.3)
KCSNBShiny_0.1.0.tgz(r-4.4-any)KCSNBShiny_0.1.0.tgz(r-4.3-any)
KCSNBShiny_0.1.0.tar.gz(r-4.5-noble)KCSNBShiny_0.1.0.tar.gz(r-4.4-noble)
KCSNBShiny_0.1.0.tgz(r-4.4-emscripten)KCSNBShiny_0.1.0.tgz(r-4.3-emscripten)
KCSNBShiny.pdf |KCSNBShiny.html✨
KCSNBShiny/json (API)

# Install 'KCSNBShiny' in R:

install.packages('KCSNBShiny', repos = c('https://chaithanya07.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/chaithanya07/kcsnbshiny/issues

On CRAN:

2.70 score 121 downloads 1 exports 105 dependencies

Last updated 5 years agofrom:63b856a707. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win	NOTE	Oct 27 2024
R-4.5-linux	NOTE	Oct 27 2024
R-4.4-win	NOTE	Oct 27 2024
R-4.4-mac	NOTE	Oct 27 2024
R-4.3-win	NOTE	Oct 27 2024
R-4.3-mac	NOTE	Oct 27 2024