In this third practical application assignment, the goal is to compare the performance of different classifiers (k-nearest neighbors, logistic regression, decision trees, and support vector machines) ...

Abstract: This paper presents an effective and efficient approach for translating fuzzy classification rules that use approximative sets to rules that use descriptive sets and linguistic hedges of ...

Machine learning is about building predictive or descriptive models automatically from data. There are two central challenges in machine learning. The first is generalizing from data to future ...