Dataset imbalance

This approach can be problematic because SDN networks have different characteristics than traditional computer systems. In this paper, we propose a new method for SDN intrusion detection using machine learning. Our method addresses the problem of data imbalance, which is a common problem with machine learning datasets.

14p vigojek 02-02-2024 3 1   Download

To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating. Despite being a crucial issue in machine learning, no widespread consensus has been reached on a unified elective chosen measure yet.

13p vijeeni2711 24-07-2021 11 0   Download

In this paper, we have surveyed some typical facial attribute learning methods. Five major categories of the state-of-the-art methods are identified: (1) Traditional learning, (2) Deep Single Task Learning, (3) Deep Multitask Learning, (4) Imbalanced Data Solver, and (5) Facial Attribute Ontology. They included from traditional learning algorithm to deep learning, along with methods that assist in solving semantic gaps based on ontology and solving data imbalances. For each algorithm of category, basic theories as well as their strengths, weaknesses, and differences are discussed.

20p angicungduoc11 18-04-2021 27 1   Download

Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes. Due to this data imbalance, gene selection is a demanding task for microarray expression data analysis.

15p vicolorado2711 23-10-2020 9 1   Download

In the second method, instead of learning on each classifier separately as in the former, we combine these classifiers by a voting ensemble. The experimental results on 20 benchmark imbalanced datasets collected from the UCI repository show that our methods significantly outperform the baseline NB. These methods also perform as good as the state-of-the-art sampling methods and significantly better in certain cases.

13p dannisa 14-12-2018 22 0   Download

To investigate the role of precrisis external imbalances that may have triggered both fiscal consolidation and larger-than-expected headwinds to growth, we control for the precrisis (2007) current-account-deficit-to-GDP ratio, again taken from the April 2010 WEO database (IMF, 2010c), and find similar results. We obtain similar results when controlling for the stock of precrisis (2007) net foreign liabilities in percent of GDP, based on the updated and extended version of dataset constructed by Lane and Milesi-Ferretti (2007). ...

28p trinhcaidat 19-04-2013 71 3   Download