📄 spambase.names
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| SPAM E-MAIL DATABASE ATTRIBUTES (in .names format)|| 48 continuous real [0,100] attributes of type word_freq_WORD | = percentage of words in the e-mail that match WORD,| i.e. 100 * (number of times the WORD appears in the e-mail) / | total number of words in e-mail. A "word" in this case is any | string of alphanumeric characters bounded by non-alphanumeric | characters or end-of-string.|| 6 continuous real [0,100] attributes of type char_freq_CHAR| = percentage of characters in the e-mail that match CHAR,| i.e. 100 * (number of CHAR occurences) / total characters in e-mail|| 1 continuous real [1,...] attribute of type capital_run_length_average| = average length of uninterrupted sequences of capital letters|| 1 continuous integer [1,...] attribute of type capital_run_length_longest| = length of longest uninterrupted sequence of capital letters|| 1 continuous integer [1,...] attribute of type capital_run_length_total| = sum of length of uninterrupted sequences of capital letters| = total number of capital letters in the e-mail|| 1 nominal {0,1} class attribute of type spam| = denotes whether the e-mail was considered spam (1) or not (0), | i.e. unsolicited commercial e-mail. || For more information, see file 'spambase.DOCUMENTATION' at the| UCI Machine Learning Repository: http://www.ics.uci.edu/~mlearn/MLRepository.html1, 0. | spam, non-spam classesword_freq_make: continuous.word_freq_address: continuous.word_freq_all: continuous.word_freq_3d: continuous.word_freq_our: continuous.word_freq_over: continuous.word_freq_remove: continuous.word_freq_internet: continuous.word_freq_order: continuous.word_freq_mail: continuous.word_freq_receive: continuous.word_freq_will: continuous.word_freq_people: continuous.word_freq_report: continuous.word_freq_addresses: continuous.word_freq_free: continuous.word_freq_business: continuous.word_freq_email: continuous.word_freq_you: continuous.word_freq_credit: continuous.word_freq_your: continuous.word_freq_font: continuous.word_freq_000: continuous.word_freq_money: continuous.word_freq_hp: continuous.word_freq_hpl: continuous.word_freq_george: continuous.word_freq_650: continuous.word_freq_lab: continuous.word_freq_labs: continuous.word_freq_telnet: continuous.word_freq_857: continuous.word_freq_data: continuous.word_freq_415: continuous.word_freq_85: continuous.word_freq_technology: continuous.word_freq_1999: continuous.word_freq_parts: continuous.word_freq_pm: continuous.word_freq_direct: continuous.word_freq_cs: continuous.word_freq_meeting: continuous.word_freq_original: continuous.word_freq_project: continuous.word_freq_re: continuous.word_freq_edu: continuous.word_freq_table: continuous.word_freq_conference: continuous.char_freq_;: continuous.char_freq_(: continuous.char_freq_[: continuous.char_freq_!: continuous.char_freq_$: continuous.char_freq_#: continuous.capital_run_length_average: continuous.capital_run_length_longest: continuous.capital_run_length_total: continuous.
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