Trained Spam
Database:
Word Frequency
Bank 1
Click 2
Hello 1
I 2
If 1
Nigeria 3
The 1
a 1
account 2
am 1
and 1
bank 3
be 2
below 2
claim 1
click 1
dollars 1
for 1
from 2
link 1
lots 1
million 1
money 1
need 1
number 1
of 3
on 2
quickly 1
refund 1
rich 2
send 1
the 1
this 1
to 5
want 1
wants 1
you 3
your 2
Trained Ham
Database:
Word Frequency
1
Horizons 1
I 3
Lagos 1
New 1
Nigeria 2
a 1
am 1
at 1
city 1
divided 1
eat 1
every 1
in 2
into 1
is 2
largest 1
like 1
morning 1
six 1
states 1
student 1
sushi 1
the 2
thirty 1
to 1
walk 1
week 1
Spamicity
for each word in test.txt
Word = Check Spam Frequency
= 0
Word = Check Ham Frequency =
0
Word = Check Spamicity =
0.400
Word = your Spam Frequency =
2
Word = your Ham Frequency =
0
Word = your Spamicity =
1.000
Word = bank Spam Frequency =
3
Word = bank Ham Frequency =
0
Word = bank Spamicity =
1.000
Word = account Spam
Frequency = 2
Word = account Ham Frequency
= 0
Word = account Spamicity =
1.000
Word = for Spam Frequency =
1
Word = for Ham Frequency = 0
Word = for Spamicity = 1.000
Word = a Spam Frequency = 1
Word = a Ham Frequency = 1
Word = a Spamicity = 0.500
Word = million Spam
Frequency = 1
Word = million Ham Frequency
= 0
Word = million Spamicity =
1.000
Word = dollars Spam
Frequency = 1
Word = dollars Ham Frequency
= 0
Word = dollars Spamicity =
1.000
Word = from Spam Frequency =
2
Word = from Ham Frequency =
0
Word = from Spamicity =
1.000
Word = Bank Spam Frequency =
1
Word = Bank Ham Frequency =
0
Word = Bank Spamicity =
1.000
Word = of Spam Frequency = 3
Word = of Ham Frequency = 0
Word = of Spamicity = 1.000
Word = Nigeria Spam
Frequency = 3
Word = Nigeria Ham Frequency
= 2
Word = Nigeria Spamicity =
0.600
Spamicity
for words in test.txt:
Word Spamicity
Bank 1.000
Check 0.400
Nigeria 0.600
a 0.500
account 1.000
bank 1.000
dollars 1.000
for 1.000
from 1.000
million 1.000
of 1.000
your 1.000
Sorted
values of Spamicity
0.400 0.500
0.600 1.000 1.000
1.000 1.000 1.000
1.000 1.000 1.000
1.000
Probability of test.txt being spam = 1.0