Although few performance evaluation instruments have been used conventionally in
different machine learning-based classification problem domains, there are numerous ones …

The design of consistent classifiers to forecast credit-granting choices is critical for many
financial decision-making practices. Although a number of artificial and statistical techniques …

This paper proposed a study that will assess different machine learning techniques in
classifying tweets. There are four machine learning techniques that will be subjected to …

Classification is one of the main problems of machine learning, and assessing the quality of
classification is one of the most topical tasks, all the more difficult as it depends on many …

Legal documents serve as valuable repositories of information pertaining to crimes,
encompassing not only legal aspects but also relevant details about criminal behaviors. To …

Competitive markets and customers' changing needs in the bank industry necessitate
accurately predicting customers who may leave the firm in the near future. Consequently …

Following recent advancements in medical laboratory technology, the analysis of high-
resolution renal pathological images has become increasingly important in the diagnosis …

Dealing with multi-class problems is a hard issue, which becomes more severe in the
presence of imbalance. When facing multi-majority and multi-minority classes, it is not …

Dynamic pricing is a critical strategy in e-commerce, enabling merchants to optimize sales
profit while adapting to varying market conditions. However, existing approaches often fall …

This study systematically assesses the effectiveness of data augmentation techniques,
focusing particularly on the stacked approach, across a diverse range of biomedical …