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Conditional probability
Probability of an event occurring, given that another event has already occurred
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IMOVNO+ (1) · Class Imbalance (1) · Multi-Class Learning (1) · Machine Learning (1) · Data Quality (1) · Ensemble Methods (1) · Meta-Heuristic (1) · Conditional Probability (1)
📖 Key Information
In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (by assumption, presumption, assertion, or evidence) is already known to have occurred. This particular method relies on event A occurring with some sort of relationship with another event B. In this situation, the event A can be analyzed by a conditional probability with respect to B. If the event of interest is A and the event B is known or assumed to have occurred, "the conditional probability of A given B", or "the probability of A under the condition B", is usually written as P(A|B) or occasionally PB(A). This can also be understood as the fraction of probability B that intersects with A, or the ratio of the probabilities of both events happening to the "given" one happening (how many times A occurs rather than not assuming B has occurred):
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{\displaystyle P(A\mid B)={\frac {P(A\cap B)}{P(B)}}}
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📰 Related News (1)
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🇺🇸 IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning
arXiv:2602.20199v1 Announce Type: cross Abstract: Class imbalance, overlap, and noise degrade data quality, reduce model reliability, and limit gener...
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