November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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AdaBoost
Back to our previous mention of a package named AdaBoost, which is short for adaptive boosting. AdaBoost is a boosting approach referred to as an ensemble learning algorithm. Ensemble learning is when multiple learners are used in conjunction with each other to build a stronger learning algorithm.
AdaBoost works by selecting a base algorithm and then iteratively improving it by accounting for the incorrectly classified examples in the training dataset.
A wonderful explanation of boosting and AdaBoost can be found online: Better living through AdaBoost http://bbacon.org/Better-Living-Through-AdaBoost.
The aforementioned article describes how AdaBoost works:
- AdaBoost trains a model on a data subset
- Weak learners (based upon performance) ...
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