Optimizing Performance Measures in Classification Using Ensemble Learning Methods

Optimizing Performance Measures in Classification Using Ensemble Learning Methods

abstract: Ensemble learning methods like bagging, boosting, adaptive boosting, stacking have traditionally shown promising results in improving the predictive accuracy in classification. These techniques have recently been widely used in various domains and applications owing to the improvements in...

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Bibliographic Details
Other Authors: Bahl, Neeraj Dharampal (Author)
Format: Dissertation
Language:English
Published: 2017
Subjects:
Artificial intelligence
Computer science
Health care management
Ensemble Learning
Machine Learning
Optimizing
Performance Measure
Sensitivity
Specificity
Online Access:http://hdl.handle.net/2286/R.I.44123

Internet

http://hdl.handle.net/2286/R.I.44123

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