A classification technique is an organized approach for building classification model from given input dataset. The learning algorithm of each technique is employed to build a model used to find the relationship between attribute set and class label of the given input data. Presence of irrelevant information in the data set reduces the speed and quality of learning. The technique of feature sel...

A very promising tool for data mining and bioinformatics is ensemble gene (feature) selection. Ensemble feature selection is the process of performing multiple runs of feature selection and then aggregating the results into a final ranked list. However, a central question of ensemble feature selection is how to aggregate the individual results into a single ranked feature list. There are a numb...

With the growing volume of data and feature (attribute) schemes, feature selection has become a very vital aspect in many data mining tasks including musical instrument sounds classification problem. The purpose of feature selection is to alleviate the effect of the „curse of dimensionality‟. This problem normally deals with the irrelevant and redundant features. Using the whole set of features...

The software cost prediction is a crucial element for project’s success because it helps the project managers to efficiently estimate needed effort any project. There exist in literature many machine learning methods like decision trees, artificial neural networks (ANN), and support vector regressors (SVR), etc. However, studies confirm that accurate estimations greatly depend on hyperparameter...