From 26c490f404731d053a6205719b6246502c07b449 Mon Sep 17 00:00:00 2001 From: Patrick Simianer
Date: Sat, 14 Jun 2014 16:46:27 +0200 Subject: init --- data/spambase/2svmlight.rb | 16 + data/spambase/generate_data.sh | 4 + data/spambase/spambase.DOCUMENTATION | 142 + data/spambase/spambase.cfg | 3 + data/spambase/spambase.data | 4601 +++++++++++++++++++++++++++++++ data/spambase/spambase.model.gz | Bin 0 -> 588 bytes data/spambase/spambase.names | 90 + data/spambase/spambase.shuf.data | 4601 +++++++++++++++++++++++++++++++ data/spambase/spambase.test | 600 ++++ data/spambase/spambase.test.svmlight | 600 ++++ data/spambase/spambase.train | 4001 +++++++++++++++++++++++++++ data/spambase/spambase.train.svmlight | 4001 +++++++++++++++++++++++++++ data/spambase/spambase.zip | Bin 0 -> 125447 bytes data/spambase/svm_light/model | 2498 +++++++++++++++++ data/spambase/svm_light/svm_predictions | 600 ++++ 15 files changed, 21757 insertions(+) create mode 100755 data/spambase/2svmlight.rb create mode 100755 data/spambase/generate_data.sh create mode 100644 data/spambase/spambase.DOCUMENTATION create mode 100644 data/spambase/spambase.cfg create mode 100644 data/spambase/spambase.data create mode 100644 data/spambase/spambase.model.gz create mode 100644 data/spambase/spambase.names create mode 100644 data/spambase/spambase.shuf.data create mode 100644 data/spambase/spambase.test create mode 100644 data/spambase/spambase.test.svmlight create mode 100644 data/spambase/spambase.train create mode 100644 data/spambase/spambase.train.svmlight create mode 100644 data/spambase/spambase.zip create mode 100644 data/spambase/svm_light/model create mode 100644 data/spambase/svm_light/svm_predictions (limited to 'data/spambase') diff --git a/data/spambase/2svmlight.rb b/data/spambase/2svmlight.rb new file mode 100755 index 0000000..2da4456 --- /dev/null +++ b/data/spambase/2svmlight.rb @@ -0,0 +1,16 @@ +#!/usr/bin/env ruby + + +while line = STDIN.gets + line.strip! + a = line.split ',' + label = a[-1].to_i + label = -1 if label==0 + a = a[0..a.size-2] + f = [] + a.each_with_index { |i,idx| + f<<"#{idx+1}:#{i.to_f}" + } + puts "#{label} #{f.join(' ')}" +end + diff --git a/data/spambase/generate_data.sh b/data/spambase/generate_data.sh new file mode 100755 index 0000000..e973faf --- /dev/null +++ b/data/spambase/generate_data.sh @@ -0,0 +1,4 @@ +shuf spambase.data > spambase.shuf.data +head -4001 spambase.shuf.data > spambase.train +tail -600 spambase.shuf.data > test + diff --git a/data/spambase/spambase.DOCUMENTATION b/data/spambase/spambase.DOCUMENTATION new file mode 100644 index 0000000..cdd8b26 --- /dev/null +++ b/data/spambase/spambase.DOCUMENTATION @@ -0,0 +1,142 @@ +1. Title: SPAM E-mail Database + +2. Sources: + (a) Creators: Mark Hopkins, Erik Reeber, George Forman, Jaap Suermondt + Hewlett-Packard Labs, 1501 Page Mill Rd., Palo Alto, CA 94304 + (b) Donor: George Forman (gforman at nospam hpl.hp.com) 650-857-7835 + (c) Generated: June-July 1999 + +3. Past Usage: + (a) Hewlett-Packard Internal-only Technical Report. External forthcoming. + (b) Determine whether a given email is spam or not. + (c) ~7% misclassification error. + False positives (marking good mail as spam) are very undesirable. + If we insist on zero false positives in the training/testing set, + 20-25% of the spam passed through the filter. + +4. Relevant Information: + The "spam" concept is diverse: advertisements for products/web + sites, make money fast schemes, chain letters, pornography... + Our collection of spam e-mails came from our postmaster and + individuals who had filed spam. Our collection of non-spam + e-mails came from filed work and personal e-mails, and hence + the word 'george' and the area code '650' are indicators of + non-spam. These are useful when constructing a personalized + spam filter. One would either have to blind such non-spam + indicators or get a very wide collection of non-spam to + generate a general purpose spam filter. + + For background on spam: + Cranor, Lorrie F., LaMacchia, Brian A. Spam! + Communications of the ACM, 41(8):74-83, 1998. + +5. Number of Instances: 4601 (1813 Spam = 39.4%) + +6. Number of Attributes: 58 (57 continuous, 1 nominal class label) + +7. Attribute Information: +The last column of 'spambase.data' denotes whether the e-mail was +considered spam (1) or not (0), i.e. unsolicited commercial e-mail. +Most of the attributes indicate whether a particular word or +character was frequently occuring in the e-mail. The run-length +attributes (55-57) measure the length of sequences of consecutive +capital letters. For the statistical measures of each attribute, +see the end of this file. Here are the definitions of the attributes: + +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. + + +8. Missing Attribute Values: None + +9. Class Distribution: + Spam 1813 (39.4%) + Non-Spam 2788 (60.6%) + + +Attribute Statistics: + Min: Max: Average: Std.Dev: Coeff.Var_%: +1 0 4.54 0.10455 0.30536 292 +2 0 14.28 0.21301 1.2906 606 +3 0 5.1 0.28066 0.50414 180 +4 0 42.81 0.065425 1.3952 2130 +5 0 10 0.31222 0.67251 215 +6 0 5.88 0.095901 0.27382 286 +7 0 7.27 0.11421 0.39144 343 +8 0 11.11 0.10529 0.40107 381 +9 0 5.26 0.090067 0.27862 309 +10 0 18.18 0.23941 0.64476 269 +11 0 2.61 0.059824 0.20154 337 +12 0 9.67 0.5417 0.8617 159 +13 0 5.55 0.09393 0.30104 320 +14 0 10 0.058626 0.33518 572 +15 0 4.41 0.049205 0.25884 526 +16 0 20 0.24885 0.82579 332 +17 0 7.14 0.14259 0.44406 311 +18 0 9.09 0.18474 0.53112 287 +19 0 18.75 1.6621 1.7755 107 +20 0 18.18 0.085577 0.50977 596 +21 0 11.11 0.80976 1.2008 148 +22 0 17.1 0.1212 1.0258 846 +23 0 5.45 0.10165 0.35029 345 +24 0 12.5 0.094269 0.44264 470 +25 0 20.83 0.5495 1.6713 304 +26 0 16.66 0.26538 0.88696 334 +27 0 33.33 0.7673 3.3673 439 +28 0 9.09 0.12484 0.53858 431 +29 0 14.28 0.098915 0.59333 600 +30 0 5.88 0.10285 0.45668 444 +31 0 12.5 0.064753 0.40339 623 +32 0 4.76 0.047048 0.32856 698 +33 0 18.18 0.097229 0.55591 572 +34 0 4.76 0.047835 0.32945 689 +35 0 20 0.10541 0.53226 505 +36 0 7.69 0.097477 0.40262 413 +37 0 6.89 0.13695 0.42345 309 +38 0 8.33 0.013201 0.22065 1670 +39 0 11.11 0.078629 0.43467 553 +40 0 4.76 0.064834 0.34992 540 +41 0 7.14 0.043667 0.3612 827 +42 0 14.28 0.13234 0.76682 579 +43 0 3.57 0.046099 0.22381 486 +44 0 20 0.079196 0.62198 785 +45 0 21.42 0.30122 1.0117 336 +46 0 22.05 0.17982 0.91112 507 +47 0 2.17 0.0054445 0.076274 1400 +48 0 10 0.031869 0.28573 897 +49 0 4.385 0.038575 0.24347 631 +50 0 9.752 0.13903 0.27036 194 +51 0 4.081 0.016976 0.10939 644 +52 0 32.478 0.26907 0.81567 303 +53 0 6.003 0.075811 0.24588 324 +54 0 19.829 0.044238 0.42934 971 +55 1 1102.5 5.1915 31.729 611 +56 1 9989 52.173 194.89 374 +57 1 15841 283.29 606.35 214 +58 0 1 0.39404 0.4887 124 + + +This file: 'spambase.DOCUMENTATION' at the UCI Machine Learning Repository +http://www.ics.uci.edu/~mlearn/MLRepository.html diff --git a/data/spambase/spambase.cfg b/data/spambase/spambase.cfg new file mode 100644 index 0000000..2afba43 --- /dev/null +++ b/data/spambase/spambase.cfg @@ -0,0 +1,3 @@ +train = spambase/spambase.train.svmlight +test = spambase/spambase.test.svmlight +model_file=spambase/spambase.model.gz diff --git a/data/spambase/spambase.data b/data/spambase/spambase.data new file mode 100644 index 0000000..b6dd6cc --- /dev/null +++ b/data/spambase/spambase.data @@ -0,0 +1,4601 @@ +0,0.64,0.64,0,0.32,0,0,0,0,0,0,0.64,0,0,0,0.32,0,1.29,1.93,0,0.96,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.778,0,0,3.756,61,278,1 +0.21,0.28,0.5,0,0.14,0.28,0.21,0.07,0,0.94,0.21,0.79,0.65,0.21,0.14,0.14,0.07,0.28,3.47,0,1.59,0,0.43,0.43,0,0,0,0,0,0,0,0,0,0,0,0,0.07,0,0,0,0,0,0,0,0,0,0,0,0,0.132,0,0.372,0.18,0.048,5.114,101,1028,1 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index 0000000..98338f4 --- /dev/null +++ b/data/spambase/spambase.names @@ -0,0 +1,90 @@ +| 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.html + + +1, 0. | spam, non-spam classes + +word_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. diff --git a/data/spambase/spambase.shuf.data b/data/spambase/spambase.shuf.data new file mode 100644 index 0000000..0d1c794 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