V1 V2 V3 V4 1 | SPAM E-MAIL DATABASE 2 | 3 | 48 continuous real 4 | = percentage of 5 | i.e. 100 * 6 | total number of 7 | string of alphanumeric 8 | characters or end-of-string. 9 | 10 | 6 continuous real 11 | = percentage of 12 | i.e. 100 * 13 | 14 | 1 continuous real 15 | = average length 16 | 17 | 1 continuous integer 18 | = length of 19 | 20 | 1 continuous integer 21 | = sum of 22 | = total number 23 | 24 | 1 nominal {0,1} 25 | = denotes whether 26 | i.e. unsolicited commercial 27 | 28 | For more information, 29 | UCI Machine Learning 30 1, 0. | spam, 31 word_freq_make: continuous. 32 word_freq_address: continuous. 33 word_freq_all: continuous. 34 word_freq_3d: continuous. 35 word_freq_our: continuous. 36 word_freq_over: continuous. 37 word_freq_remove: continuous. 38 word_freq_internet: continuous. 39 word_freq_order: continuous. 40 word_freq_mail: continuous. 41 word_freq_receive: continuous. 42 word_freq_will: continuous. 43 word_freq_people: continuous. 44 word_freq_report: continuous. 45 word_freq_addresses: continuous. 46 word_freq_free: continuous. 47 word_freq_business: continuous. 48 word_freq_email: continuous. 49 word_freq_you: continuous. 50 word_freq_credit: continuous. 51 word_freq_your: continuous. 52 word_freq_font: continuous. 53 word_freq_000: continuous. 54 word_freq_money: continuous. 55 word_freq_hp: continuous. 56 word_freq_hpl: continuous. 57 word_freq_george: continuous. 58 word_freq_650: continuous. 59 word_freq_lab: continuous. 60 word_freq_labs: continuous. 61 word_freq_telnet: continuous. 62 word_freq_857: continuous. 63 word_freq_data: continuous. 64 word_freq_415: continuous. 65 word_freq_85: continuous. 66 word_freq_technology: continuous. 67 word_freq_1999: continuous. 68 word_freq_parts: continuous. 69 word_freq_pm: continuous. 70 word_freq_direct: continuous. 71 word_freq_cs: continuous. 72 word_freq_meeting: continuous. 73 word_freq_original: continuous. 74 word_freq_project: continuous. 75 word_freq_re: continuous. 76 word_freq_edu: continuous. 77 word_freq_table: continuous. 78 word_freq_conference: continuous. 79 char_freq_;: continuous. 80 char_freq_(: continuous. 81 char_freq_[: continuous. 82 char_freq_!: continuous. 83 char_freq_$: continuous. 84 char_freq_ 85 capital_run_length_average: continuous. 86 capital_run_length_longest: continuous. 87 capital_run_length_total: continuous. V5 V6 1 ATTRIBUTES (in 2 3 [0,100] attributes 4 words in 5 (number of 6 words in 7 characters bounded 8 9 10 [0,100] attributes 11 characters in 12 (number of 13 14 [1,...] attribute 15 of uninterrupted 16 17 [1,...] attribute 18 longest uninterrupted 19 20 [1,...] attribute 21 length of 22 of capital 23 24 class attribute 25 the e-mail 26 e-mail. 27 28 see file 29 Repository: http://www.ics.uci.edu/~mlearn/MLRepository.html 30 non-spam classes 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 V7 V8 V9 V10 1 .names format) 2 3 of type word_freq_WORD 4 the e-mail that match 5 times the WORD appears 6 e-mail. A word in 7 by non-alphanumeric 8 9 10 of type char_freq_CHAR 11 the e-mail that match 12 CHAR occurences) / total 13 14 of type capital_run_length_average 15 sequences of capital letters 16 17 of type capital_run_length_longest 18 sequence of capital letters 19 20 of type capital_run_length_total 21 uninterrupted sequences of capital 22 letters in the e-mail 23 24 of type spam 25 was considered spam (1) 26 27 28 spambase.DOCUMENTATION at the 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 V11 V12 V13 V14 1 2 3 4 WORD, 5 in the e-mail) / 6 this case is any 7 8 9 10 11 CHAR, 12 characters in e-mail 13 14 15 16 17 18 19 20 21 letters 22 23 24 25 or not (0), 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87