Classifier Instance:

Anchor text: Monte Carlo algorithm
Target Entity: Monte_Carlo_algorithm
Preceding Context: A
Succeeding Context: is a randomized algorithm which is likely to be correct. Problems in the class BPP have Monte Carlo algorithms with polynomial bounded running time. This is compared to a Las Vegas algorithm which is a randomized algorithm which either outputs the correct answer, or outputs "fail" with low probability. Las Vegas algorithms with polynomial bound running times are used to define the class ZPP. Alternatively, ZPP contains probabilistic algorithms that are always correct and have expected polynomial running time. This is weaker than saying it is a polynomial time algorithm, since it may run for super-polynomial time, but with very low probability.
Paragraph Title: Related classes
Source Page: Bounded-error probabilistic polynomial

Ground Truth Types:

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|  |  |  |  |  |---wordnet_rule_105846932
|  |  |  |  |  |  |---wordnet_algorithm_105847438

Predicted Types:

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wordnet_person_100007846-1.4058264122798085 0
yagoGeoEntity-2.2298892068128167 0
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