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)

Peer review:

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

On CRAN:

1 exports 0.62 score 105 dependencies 144 downloads

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

Exports:KCSNBShiny

Dependencies:base64encbslibcachemcaretclasscliclockcodetoolscolorspacecommonmarkcpp11crayondata.tablediagramdigestdplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2globalsgluegowergtablehardhathighrhtmltoolshtmlwidgetshttpuvipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrpromisesproxypurrrR6rappdirsRColorBrewerRcpprecipesreshape2rhandsontablerlangrmarkdownrpartsassscalesshapeshinysourcetoolsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxtableyaml