… Assessing the performance of a classification algorithm … is crucial when deciding whether
to supplant one algorithm by … comparing the performance of multiple classification algorithms (…

… Many classification algorithms yield explicit estimates of the probabilities that an observation
with a given vector of descriptive measurements will belong to each class. In certain …

… This research aims to present the performance analysis of ML classification algorithms for
liver … are assessed using different assessment measures to show the better performance of an …

… -parametric machine learning algorithms, random forest (… algorithm maximum likelihood
(MLC) based on multiple Landsat 8 images. We have also assessed the classifier performance …

… Performance assessment of a learning method related to its prediction … of performance
measures (scores) and graphical methods to evaluate the performance of classification algorithms…

… examine five selected classification algorithms based on WEKA. The best algorithm based
on … These results suggest that among the machine learning algorithms tested, PART classifier …

… Classification systems play an important role in business decision-making tasks by classifying
… The objective of this research is to assess the relative performance of some well-known …

… classification algorithms that employed the imputed data. Performance of several classification
algorithms … The assessment results showed that C5.0 and CHAID algorithm were able to …

… classification problems, receiver operating characteristic analysis provides a clear and
concise assessment methodology for reporting performance … for assessing the performance of …

… classification algorithms. The authors describe several techniques for classifier performance
assessment… In particular, we focus on evaluating the performance of classifiers generated by …