Error probability refers to the likelihood that a randomized algorithm will produce an incorrect result when making decisions based on random inputs. This concept is central to evaluating the performance and reliability of randomized algorithms, particularly in contexts where some margin of error is acceptable. Understanding error probability is crucial for classifying algorithms into complexity classes and assessing their effectiveness in various computational tasks.
congrats on reading the definition of error probability. now let's actually learn it.