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Class Imbalance vs. Cost-Sensitive Learning

Class Imbalance vs. Cost-Sensitive Learning. Presenter: Hui Li University of Ottawa. Contents. Introduction Making Classifier Balanced Making Classifier Cost Sensitive MetaCost Stratification. Class Imbalance vs. Asymmetric Misclassification costs.

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456 views • 43 slides

Gary Weiss, Kate McCarthy, Bibi Zabar Fordham University

Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?. Gary Weiss, Kate McCarthy, Bibi Zabar Fordham University. Background. Highly skewed data is common Typically more interested in correctly classifying the minority class examples

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314 views • 19 slides

Cost-Sensitive Bayesian Network algorithm

Cost-Sensitive Bayesian Network algorithm. Eman Nashnush E.Nashnush1@edu.salford.ac.uk University of Salford ,Manchester, UK Sponsor in Libya ( Tripoli University ). Learner. Classifier. Training Data. Transaction {fraud,nonfraud}. 1. Decision trees 2. Rules 3. Naive Bayes

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114 views • 1 slides

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Cost sensitive - PowerPoint PPT Presentation

Class Imbalance vs. Cost-Sensitive Learning

Gary Weiss, Kate McCarthy, Bibi Zabar Fordham University

Cost-Sensitive Bayesian Network algorithm