What are weak and strong classifiers?

Weak and Strong Classifiers

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Classifiers

A weak classifier is that algorithm which performs slightly better than random guess. The concept of Boosting came as an answer to the question – “Can a set of weak learners create a single strong learner?”.

Note that in practical applications an algorithm with 80% accuracy would considered weak compared to one with 90% accuracy and thus become a suitable candidate for Boosting.