Original library is in UCI Database. See documentation on the website for further detail.
Your assignment consists of buiding a CART model to detect spam mail using UCI’s Spambase data and analyze it. You performance depends on correct specification of spam/non-spam mails in the test subset. You are going to use the RData file associated with your assignment on Moodle. Report your way of thinking, methodology, code and results.
You can load the data by using load command from your working directory or anywhere if you specify the path. For some installations, you can also double click the on the RData file to load. Name of the data frame is spam_data (same as the file name).
load("spam_data.RData")
head(spam_data)Column names and short explanations are given below. For further details see the UCI documentation given in the above link.
train_or_test - 0 train, 1 test
spam_or_not - 0 not spam, 1 spam
V1 - word_freq_make
V2 - word_freq_address
V3 - word_freq_all
V4 - word_freq_3d
V5 - word_freq_our
V6 - word_freq_over
V7 - word_freq_remove
V8 - word_freq_internet
V9 - word_freq_order
V10 - word_freq_mail
V11 - word_freq_receive
V12 - word_freq_will
V13 - word_freq_people
V14 - word_freq_report
V15 - word_freq_addresses
V16 - word_freq_free
V17 - word_freq_business
V18 - word_freq_email
V19 - word_freq_you
V20 - word_freq_credit
V21 - word_freq_your
V22 - word_freq_font
V23 - word_freq_000
V24 - word_freq_money
V25 - word_freq_hp
V26 - word_freq_hpl
V27 - word_freq_george
V28 - word_freq_650
V29 - word_freq_lab
V30 - word_freq_labs
V31 - word_freq_telnet
V32 - word_freq_857
V33 - word_freq_data
V34 - word_freq_415
V35 - word_freq_85
V36 - word_freq_technology
V37 - word_freq_1999
V38 - word_freq_parts
V39 - word_freq_pm
V40 - word_freq_direct
V41 - word_freq_cs
V42 - word_freq_meeting
V43 - word_freq_original
V44 - word_freq_project
V45 - word_freq_re
V46 - word_freq_edu
V47 - word_freq_table
V48 - word_freq_conference
V49 - char_freq_;
V50 - char_freq_(
V51 - char_freq_[
V52 - char_freq_!
V53 - char_freq_$
V54 - char_freq_#
V55 - capital_run_length_average
V56 - capital_run_length_longest
V57 - capital_run_length_total