首页|Ludwig-Maximilians-Universitat Munchen Reports Findings in Machine Learning (A r efined approach for evaluating small datasets via binary classification using ma chine learning)
Ludwig-Maximilians-Universitat Munchen Reports Findings in Machine Learning (A r efined approach for evaluating small datasets via binary classification using ma chine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Munich, German y, by NewsRx journalists, research stated, “Classical statistical analysis of da ta can be complemented or replaced with data analysis based on machine learning. However, in certain disciplines, such as education research, studies are freque ntly limited to small datasets, which raises several questions regarding biases and coincidentally positive results.” The news reporters obtained a quote from the research from Ludwig-Maximilians-Un iversitat Munchen, “In this study, we present a refined approach for evaluating the performance of a binary classification based on machine learning for small d atasets. The approach includes a non-parametric permutation test as a method to quantify the probability of the results generalising to new data. Furthermore, w e found that a repeated nested cross-validation is almost free of biases and yie lds reliable results that are only slightly dependent on chance. Considering the advantages of several evaluation metrics, we suggest a combination of more than one metric to train and evaluate machine learning classifiers. In the specific case that both classes are equally important, the Matthews correlation coefficie nt exhibits the lowest bias and chance for coincidentally good results.”
MunichGermanyEuropeCyborgsEmergi ng TechnologiesMachine Learning
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