Nowadays, class imbalance problem is one of the most important affairs among machine
learning and data mining researchers. In this problem, majority of the sample data are …

Electrocardiography (ECG) is a well‐known noninvasive technique in medical science that
provides information about the heart's rhythm and current conditions. Automatic ECG …

Imbalanced data refers to a condition that there is a different size of samples between one
class with another class (es). It made the term “majority” class that represents the class with …

Prediction using machine learning has evolved due to its impact on providing valuable and
intuitive feedback. It has covered a wide range of areas for predicting student'performance …

Monitoring user feedback and gratification is a critical concern for any business organization
in the competitive world of internet businesses. Web forums and social media have …

Supervised machine learning algorithms refer to the implicit discovery of significant patterns
in data with high accuracy. However, model accuracy does not always fulfill the researcher's …

Linear regression is the most frequently used regression analysis due to its simplicity in
predicting and forecasting. However, because of its parametric approach, it is necessary to …

The paper presents a method for mitigating the impact of an unbalanced distribution of
multidimensional class features on grade prediction accuracy. For the purposes of the case …

The introduction of Big Data has proclaimed the beginning of a new age of scientific
advances. One of the most often encountered problems with raw data is a class imbalance …

Manuka honey is renowned for its exceptional medicinal properties in healing wound
infections and other conditions. Due to its high cost, this honey is a common target for fraud …