Książka Intelligent Data Engineering and Automated Learning Rashid Syed Zahidur

Intelligent Data Engineering and Automated Learning

Machine Learning from Imbalanced Data Sets

Język: Angielski
Oprawa: Miękka
Wydawca: Scholars' Press
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
328.96
This book investigates the nature of imbalanced data sets and looks at two external methods, which c...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2015
strony
220
EAN
9783639762211
ISBN
3639762215
Enbook ID
09216858
Wydawca
Waga
327
Wymiary
152 x 229 x 13

Pełny opis

This book investigates the nature of imbalanced data sets and looks at two external methods, which can increase a learner s performance on under represented classes. Both techniques artificially balance the training data; one by randomly re-sampling examples of the under represented class and adding them to the training set, the other by randomly removing examples of the over represented class from the training set. A combination scheme is then presented. The approach is one in which multiple classifiers are arranged in a hierarchical structure according to their sampling techniques. The architecture consists of two experts, one that boosts performance by combining classifiers that re-sample training data at different rates, the other by combining classifiers that remove data from the training data at different rates. Using the F-measure, which combines precision and recall as a performance statistic, the combination scheme is shown to be effective at learning from severely imbalanced data sets. In fact, when compared to a state of the art combination technique, Adaptive-Boosting, the proposed system is shown to be superior for learning on imbalanced data sets.

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