Dataset Modification to improve ML algorithm performance and speed

ISBN-13: 9786204733418 / Angielski / Miękka / 72 str.

Sathish Kumar Penchala; Prateek Dutta; Dheeraj Rane

Opis

We propose two pre-processing steps to classification that apply convex hull- based algorithms to the training set to help improve the performance and speed of classification. The Class Reconstruction algorithm uses a clustering algorithm combined with a convex hull-based approach that re-labels the dataset with a new and expanded class structure. We demonstrate how this performance- improvement algorithm helps boost the accuracy results of Naive Bayes in some, but not all, cases that use real-world datasets.

O autorze

Penchala, Sathish KumarDr. Sathish Kumar Penchala has many articles on AIML and distinguished faculty and head for AIML at IIST, Indore Mr. Prateek Dutta is an aspiring student in AIML branch, leading project internship with foreign collaboration, Ghrce, Nagpur Dr. Dheeraj Rane has many articles on AIML and distinguished faculty and head for CSE At IIST, Indore