Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …

Direct comparison on point estimation of the precision (P), recall (R), and F1 measure of two
natural language processing (NLP) models on a common test corpus is unreasonable and …

Nonparametric statistical analysis, such as the Friedman test (FT), is gaining more and more
attention due to its useful applications in a lot of experimental studies. However, traditional …

With the increasing popularity of android gaming applications on smart phones, detection of
emotional states of hard-core gamers become the interest of study among psychologists …

Classification problems from different domains vary in complexity, size, and imbalance of the
number of samples from different classes. Although several classification models have been …

The paper introduces an alternative approach to time-series prediction for stock index data
using Interval Type-2 Fuzzy Sets. The work differs from the existing research on time-series …

In the research of machine learning algorithms for classification tasks, the comparison of the
performances of algorithms is extremely important, and a statistical test of significance for …

In typical machine learning applications such as information retrieval, precision and recall
are two commonly used measures for assessing an algorithm's performance. Symmetrical …

In studies on the application of machine learning such as Information Retrieval (IR), the
focus is typically on the estimation of the F 1 measure of algorithm performance …

NLPers frequently face reproducibility crisis in a comparison of various models of a real-
world NLP task. Many studies have empirically showed that the standard splits tend to …