Besides, Table 3 illustrates the scenario of individual classification accuracy for the different fault categories.
In this paper, we have carried out an overview on the topic of imbalanced classification in the scenario of Big Data.
In addition, we investigate how many frames are necessary for our method to perform classification in the scenario of online action recognition.
The scenarios involved differential classification error because the validation data (Table 1) indicated the classification processes were differential.
95% bootstrap CIs were narrower when considering the scenarios with better classification accuracies, i.e. J of 0.6 and 0.8.
These scenarios are structured along the lines of classification between weak and strong sustainability, and therefore reflect two basic dimensions of sustainability of energy production environmental protection and sustainable supply of energy resources.
Numerous machine learning algorithms are readily available for high-throughput data analysis, most of which, however, are limited to scenarios of the classification or prediction with only two classes.
It depends on the theory of classification.
The accuracy of classification is 85%.
They're both part of the same process of classification.
