If the null hypothesis is rejected, then the Nemenyi test is performed to find which algorithm is performing significantly different from others. This is done by calculating the Critical difference ...

There has been a significant increase in internet accessibility in the recent decade which has the potential to digitize the entire economy of the country. Despite this, physical currency in the form ...

In this paper, inferences are performed to a huge and complex TP using different classification algorithms, with the primary goal to discover potential test relationships in a fast and efficient way.

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.

The experimental results showed that the decision tree “Random Forest” effectively based on the classification algorithm is higher than others. The accuracy of 79.2% and a model of the algorithm can ...

Sampson, A. (2012) Comparing Classification Algorithms in Data Mining. A Thesis, ... Two important performance indicators for data mining algorithms are accuracy of classification/ prediction and time ...