Dataset Modification to improve ML algorithm performance and speed

Sathish Kumar Penchala

ISBN 10: 6204733419 / ISBN 13: 9786204733418

Published by LAP LAMBERT Academic Publishing Dez 2021, 2021

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 72 pp. Englisch.

Seller Inventory # 9786204733418

Bibliographic Details

• Title: Dataset Modification to improve ML algorithm performance and speed
• Publisher: LAP LAMBERT Academic Publishing Dez 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 6204733419
• ISBN 13: 9786204733418
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 125 grams

About this title

Synopsis

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.