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 = Nigeria Spam Frequency = 3

Word = Nigeria Ham Frequency = 2

Word = Nigeria Spamicity = 0.600

Word = is Spam Frequency = 0

Word = is Ham Frequency = 2

Word = is Spamicity = 0.000

Word = a Spam Frequency = 1

Word = a Ham Frequency = 1

Word = a Spamicity = 0.500

Word = country Spam Frequency = 0

Word = country Ham Frequency = 0

Word = country Spamicity = 0.400

Word = in Spam Frequency = 0

Word = in Ham Frequency = 2

Word = in Spamicity = 0.000

Word = West Spam Frequency = 0

Word = West Ham Frequency = 0

Word = West Spamicity = 0.400

Word = Africa Spam Frequency = 0

Word = Africa Ham Frequency = 0

Word = Africa Spamicity = 0.400

Spamicity for words in test.txt:

Word Spamicity

Africa 0.400

Nigeria 0.600

West 0.400

a 0.500

country 0.400

in 0.000

is 0.000

Sorted values of Spamicity

0.000 0.000 0.400 0.400 0.400 0.500 0.600

Probability of test.txt being spam = 0.0