Comparing the accuracy of various Classification Algorithms for Banknote Authentication ABSTRACT There has been a significant increase in internet accessibility in the recent decade which has the ...

Comparing computational and predictive perfromance of learnining algorithms Importing data and libraries As a first step data set was imported using pandas library of python, then various required ...

If the complexity of a TP increases, the undetected interrelationship among tests in a TP will also increase. In this paper, inferences are performed to a huge and complex TP using different ...

Model selection can involve comparing different algorithms or models based on their performance metrics, such as accuracy, precision, recall, or F1-score, on a validation or test set.

Learn about some of the most popular and widely used big data analytics algorithms and why they are important for solving different big data challenges.

This paper compares three modern and two classical multiobjective optimizers (MOOs) as applied to real-world problems in electromagnetics. The behavior of sophisticated optimizers on simple test ...