Solve this now in 20 min and take a thumb up plz 2)Suppose a Bayesian spam filter is trained on a set of 100,000 spam emails and 4,000 emails that are notspam. The word "money" appears in 2,500 spam emails and 200 nonspam emails, the word "urgent"appears in 8,000 spam emails and 800 nonspam emails, the word "attention" appears in 20,000 spamemails and 80 nonspam emails, and the word "account" appears in 10,000 spam emails and 100 nonspamemails. Estimate the probability that a received email containing all four words of "money", "urgent","attention", and "account" is spam. Will the email be rejected as spam if the threshold for rejecting spamis set at 80%?

Question

Solve this now in 20 min and take a thumb up plz 2)Suppose a Bayesian spam filter is trained on a set of 100,000 spam emails and 4,000 emails that are notspam. The word &#34;money&#34; appears in 2,500 spam emails and 200 nonspam emails, the word &#34;urgent&#34;appears in 8,000 spam emails and 800 nonspam emails, the word &#34;attention&#34; appears in 20,000 spamemails and 80 nonspam emails, and the word &#34;account&#34; appears in 10,000 spam emails and 100 nonspamemails. Estimate the probability that a received email containing all four words of &#34;money&#34;, &#34;urgent&#34;,&#34;attention&#34;, and &#34;account&#34; is spam. Will the email be rejected as spam if the threshold for rejecting spamis set at 80%?

Accepted Answer

Solution:
From the given information, total number of spam emails trained is 100,000 and emails that…