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-4.7)KCSNBShiny_0.1.0.zip(r-4.6)KCSNBShiny_0.1.0.zip(r-4.5)
KCSNBShiny_0.1.0.tgz(r-4.6-any)KCSNBShiny_0.1.0.tgz(r-4.5-any)
KCSNBShiny_0.1.0.tar.gz(r-4.7-any)KCSNBShiny_0.1.0.tar.gz(r-4.6-any)
KCSNBShiny_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 201 downloads 1 exports 103 dependencies

Last updated from:63b856a707. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	178
source / vignettes	OK	179
linux-release-x86_64	NOTE	178
macos-release-arm64	NOTE	106
macos-oldrel-arm64	NOTE	144
windows-devel	NOTE	124
windows-release	NOTE	123
windows-oldrel	NOTE	115
wasm-release	OK	128