Classifier Instance:

Anchor text: Poisson distribution
Target Entity: Poisson_distribution
Preceding Context: In probability theory, one may describe the distribution of a random variable as belonging to a family of probability distributions, distinguished from each other by the values of a finite number of parameters. For example, one talks about "a
Succeeding Context: with mean value λ". The function defining the distribution (the probability mass function) is:
Paragraph Title: Probability theory
Source Page: Parameter

Ground Truth Types:

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Predicted Types:

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