Database - Data Mining
A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.
A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.
A spam filtering system has a probability of 0.95 to classify correctly a mail as spam and 0.10 probability of giving false positive. It is estimated that 0.5% of the mails are actual spam mails.
70. Given that a mail is classified as not spam, the probability of the mail actually being not spam
