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63 lines
1.6 KiB
Plaintext
63 lines
1.6 KiB
Plaintext
---
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title: "UCI Machine Learning datasets for R"
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author: "Andrzej Wójtowicz"
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output:
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html_document:
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keep_md: yes
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number_sections: yes
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toc: yes
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---
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```{r global-options, include=FALSE}
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knitr::opts_chunk$set(comment="", echo=FALSE,
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warning=FALSE, message=FALSE)
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source('config.R')
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```
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Document generation date: `r Sys.time()`.
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```{r show-datasets, results='asis'}
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library(yaml)
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for (dir.name in dir(PATH_DATASETS))
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{
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config.yaml.file.path = paste0(PATH_DATASETS, dir.name, "/", FILE_CONFIG_YAML)
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config.yaml = yaml.load_file(config.yaml.file.path)
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cat(paste("#", config.yaml$name, "\n\n"))
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cat(paste("**Local directory**:", dir.name, "\n\n"))
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cat(paste0("**Details**: [link](", config.yaml$info, ")\n\n"))
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cat(paste("**Files**:\n\n"))
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for (file.url in config.yaml$urls)
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{
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cat(paste0("* [", URLdecode(basename(file.url)), "](", file.url, ")\n"))
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}
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cat("\n")
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cat(paste0("**Cite**:\n```\n", config.yaml$cite, "\n```\n\n"))
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cat(paste("**Dataset**:\n\n"))
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preprocessed.dir = gsub("\\*", dir.name, PATH_DATASET_PREPROCESSED)
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preprocessed.file.path = paste0(preprocessed.dir, FILE_PREPROCESSED_OUTPUT)
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dataset = readRDS(preprocessed.file.path)
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cat("```\n")
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cat(str(dataset))
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cat("\n```\n\n")
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perc.classes = sort(round(100*as.numeric(
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table(dataset[, ncol(dataset)]))/nrow(dataset), 0))
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cat(paste("**Class imbalance**:",
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paste0(perc.classes[1], "% / ",
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perc.classes[2], "%\n\n")))
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cat("---\n\n")
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}
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```
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