Given a rule of the form if x then y, rule confidence is defined as the conditional probability that
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Answer:
If x then y, rule confidence is defined as the conditional probability that y is true then x is known to be true.
Step-by-step explanation:
What is conditional probability ?
The possibility of an event or consequence occurring based on the occurrence of a preceding event or outcome is known as conditional probability. The updated likelihood of the subsequent, or conditional, event is multiplied by the probability of the preceding, or conditional, event to get conditional probability.
A conditional probability would consider these two events in connection to one another, such as the likelihood of being accepted to college and being given dormitory residence.
The terms conditional probability and unconditional probability are often used interchangeably. Unconditional probability refers to the probability that an event will occur regardless of whether or not previous events have occurred or other conditions exist.
What is rule confidence in conditional probability ?
The better an association rule is, the higher its confidence (conditional probability). The "Lift" of the rule is another essential term in association rules. An Association Rule's Lift Ratio:
Lift = Confidence/Expected Confidence.
Therefore, if x then y, rule confidence is defined as the conditional probability that y is true then x is known to be true.
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