Credit Assignment: Using Resampling Methods for Dealing with the Class Imbalance Problem
نویسندگان
چکیده
منابع مشابه
On the Suitability of Resampling Techniques for the Class Imbalance Problem in Credit Scoring
In real-life credit scoring applications, the case in which the class of defaulters is under-represented in comparison to the class of non-defaulters is a very common situation, but it has still received little attention. The present paper investigates the suitability and performance of several resampling techniques when applied in conjunction with statistical and artificial intelligence predic...
متن کاملOn the suitability of resampling techniques for the class imbalance problem in credit scoring
In real-life credit scoring applications, the case in which the class of defaulters is under-represented in comparison with the class of non-defaulters is a very common situation, but it has still received little attention. The present paper investigates the suitability and performance of several resampling techniques when applied in conjunction with statistical and artificial intelligence pred...
متن کاملDealing with Class Imbalance using Thresholding
We propose thresholding as an approach to deal with class imbalance. We define the concept of thresholding as a process of determining a decision boundary in the presence of a tunable parameter. The threshold is the maximum value of this tunable parameter where the conditions of a certain decision are satisfied. We show that thresholding is applicable not only for linear classifiers but also fo...
متن کاملThe Social Credit Assignment Problem
Social credit assignment is a process of social judgment whereby one singles out individuals to blame or credit for multi-agent activities. Such judgments are a key aspect of social intelligence and underlie social planning, social learning, natural language pragmatics and computational models of emotion. Based on psychological attribution theory, this paper presents a preliminary computational...
متن کاملOn the effectiveness of preprocessing methods when dealing with different levels of class imbalance
0950-7051/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.knosys.2011.06.013 ⇑ Corresponding author. E-mail addresses: [email protected] (V. García), s [email protected] (R.A. Mollineda). The present paper investigates the influence of both the imbalance ratio and the classifier on the performance of several resampling strategies to deal with imbalanced data sets. The study focuses on evaluat...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2018
ISSN: 1870-4069
DOI: 10.13053/rcs-147-12-15