Chapter 14 Naive Bayes Classification
Learning objectives:
- explore the pros and cons of naive Bayes classification
- generalize classification tasks for more than two categories
library("bayesrules")
library("dplyr")
library("e1071")
library("ggplot2")
library("ggtext")
library("janitor")
library("tidyr")
sessionInfo()## R version 4.3.1 (2023-06-16)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 22.04.2 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
##
## locale:
## [1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
## [4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
## [7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
## [10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
##
## time zone: UTC
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] ggtext_0.1.2 e1071_1.7-13 tidybayes_3.0.4
## [4] rstanarm_2.21.4 Rcpp_1.0.11 broom.mixed_0.2.9.4
## [7] patchwork_1.1.2 bayesplot_1.10.0 rstan_2.21.8
## [10] StanHeaders_2.26.27 latex2exp_0.9.6 gt_0.9.0
## [13] janitor_2.2.0 bayesrules_0.0.2 lubridate_1.9.2
## [16] forcats_1.0.0 stringr_1.5.0 dplyr_1.1.2
## [19] purrr_1.0.1 readr_2.1.4 tidyr_1.3.0
## [22] tibble_3.2.1 ggplot2_3.4.2 tidyverse_2.0.0
##
## loaded via a namespace (and not attached):
## [1] RColorBrewer_1.1-3 tensorA_0.36.2 rstudioapi_0.15.0
## [4] jsonlite_1.8.7 magrittr_2.0.3 farver_2.1.1
## [7] nloptr_2.0.3 rmarkdown_2.23 vctrs_0.6.3
## [10] minqa_1.2.5 base64enc_0.1-3 htmltools_0.5.5
## [13] distributional_0.3.2 broom_1.0.5 parallelly_1.36.0
## [16] sass_0.4.6 bslib_0.5.0 htmlwidgets_1.6.2
## [19] plyr_1.8.8 zoo_1.8-12 cachem_1.0.8
## [22] igraph_1.5.0 mime_0.12 lifecycle_1.0.3
## [25] pkgconfig_2.0.3 colourpicker_1.2.0 Matrix_1.5-4.1
## [28] R6_2.5.1 fastmap_1.1.1 future_1.33.0
## [31] shiny_1.7.4.1 snakecase_0.11.0 digest_0.6.33
## [34] colorspace_2.1-0 furrr_0.3.1 ps_1.7.5
## [37] crosstalk_1.2.0 labeling_0.4.2 fansi_1.0.4
## [40] timechange_0.2.0 mgcv_1.8-42 abind_1.4-5
## [43] compiler_4.3.1 proxy_0.4-27 withr_2.5.0
## [46] backports_1.4.1 inline_0.3.19 shinystan_2.6.0
## [49] pkgbuild_1.4.2 highr_0.10 MASS_7.3-60
## [52] gtools_3.9.4 loo_2.6.0 tools_4.3.1
## [55] httpuv_1.6.11 threejs_0.3.3 glue_1.6.2
## [58] DiagrammeR_1.0.10 callr_3.7.3 nlme_3.1-162
## [61] promises_1.2.0.1 gridtext_0.1.5 grid_4.3.1
## [64] checkmate_2.2.0 reshape2_1.4.4 generics_0.1.3
## [67] gtable_0.3.3 tzdb_0.4.0 class_7.3-22
## [70] hms_1.1.3 xml2_1.3.5 utf8_1.2.3
## [73] ggdist_3.3.0 pillar_1.9.0 markdown_1.7
## [76] posterior_1.4.1 later_1.3.1 splines_4.3.1
## [79] lattice_0.21-8 survival_3.5-5 tidyselect_1.2.0
## [82] miniUI_0.1.1.1 knitr_1.43 arrayhelpers_1.1-0
## [85] gridExtra_2.3 bookdown_0.34 groupdata2_2.0.3
## [88] stats4_4.3.1 xfun_0.39 matrixStats_1.0.0
## [91] DT_0.28 visNetwork_2.1.2 stringi_1.7.12
## [94] yaml_2.3.7 boot_1.3-28.1 evaluate_0.21
## [97] codetools_0.2-19 cli_3.6.1 RcppParallel_5.1.7
## [100] shinythemes_1.2.0 xtable_1.8-4 munsell_0.5.0
## [103] processx_3.8.2 jquerylib_0.1.4 globals_0.16.2
## [106] coda_0.19-4 png_0.1-8 svUnit_1.0.6
## [109] parallel_4.3.1 rstantools_2.3.1 ellipsis_0.3.2
## [112] prettyunits_1.1.1 dygraphs_1.1.1.6 listenv_0.9.0
## [115] lme4_1.1-34 ggthemes_4.2.4 ggridges_0.5.4
## [118] scales_1.2.1 xts_0.13.1 crayon_1.5.2
## [121] rlang_1.1.1 shinyjs_2.1.0