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Credit scoring prediction is a focus of banking sector to identify trickery customers and to reduce illegal activities. The usage of ensemble classifiers in machine learning plays a vital role in prediction problems. The aim of this study is to analyze the accuracy of the ensemble methods in classifying the customers as good risk group or bad risk group. In this paper experiments are conducted using...
Content Delivery Networks (CDN) is one of the most promising technologies that enhance performance for its customers' websites by redirecting web requests from browsers to geographically distributed CDN surrogate nodes. Due to the flexible nature of CDN, it suffers from various security and resource allocation issues. There are several techniques have been implemented in literature to thwart the attacks...
Regression techniques are used to measure software estimates accuracy for evaluation and validation. The common evaluation criteria in software engineering like Magnitude Relative Error (MRE) that computes absolute error percentage between actual and predicted efforts for reference samples is used. The Mean Magnitude Relative Error (MMRE) and Median Magnitude Relative Error (MdMRE) are the de facto...
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