January 13, 2021
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.
by : Monis Khan
Quick Summary:
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 […]