Data Mining - (two class|binary) classification problem (yes/no, false/true)

About

Binary classification is used to predict one of two possible outcomes.

A two class problem (binary problem) has possibly only two outcomes:

• “yes or no”
• “success” or “failure”

and is much more known as a Bernoulli trial (or binomial trial)

See

• Coin Flipping
• (Probability|Statistics) - Binomial Distribution

Articles Related

Example

• Is this transaction a fraud ?
• Will this prospect become a customer ?
• Which employees are likely to leave a company in the next year …
• Is the top card of a shuffled deck an ace?
• Was the newborn child a girl?
• Rolling a die, where a six is “success” and everything else a “failure”.
• In conducting a political opinion poll, choosing a voter at random to ascertain whether that voter will vote “yes” in an upcoming referendum.