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33 lines
1.8 KiB
R
33 lines
1.8 KiB
R
preprocessDataset = function()
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{
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csv.file = "spambase.data"
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dataset = read.csv(paste0(orig.dir, "/", csv.file),
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header=FALSE)
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colnames(dataset) = c("word_freq_make", "word_freq_address", "word_freq_all",
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"word_freq_3d", "word_freq_our", "word_freq_over",
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"word_freq_remove", "word_freq_internet",
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"word_freq_order", "word_freq_mail", "word_freq_receive",
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"word_freq_will", "word_freq_people", "word_freq_report",
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"word_freq_addresses", "word_freq_free",
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"word_freq_business", "word_freq_email", "word_freq_you",
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"word_freq_credit", "word_freq_your", "word_freq_font",
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"word_freq_000", "word_freq_money", "word_freq_hp",
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"word_freq_hpl", "word_freq_george", "word_freq_650",
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"word_freq_lab", "word_freq_labs", "word_freq_telnet",
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"word_freq_857", "word_freq_data", "word_freq_415",
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"word_freq_85", "word_freq_technology", "word_freq_1999",
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"word_freq_parts", "word_freq_pm", "word_freq_direct",
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"word_freq_cs", "word_freq_meeting", "word_freq_original",
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"word_freq_project", "word_freq_re", "word_freq_edu",
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"word_freq_table", "word_freq_conference", "char_freq_;",
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"char_freq_(", "char_freq_[", "char_freq_!", "char_freq_$",
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"char_freq_#", "capital_run_length_average",
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"capital_run_length_longest", "capital_run_length_total",
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"class")
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dataset = dataset %>% mutate(class=factor(class))
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return(dataset)
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} |