Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Comparative Analysis of Various Ensemble Approaches for Web Page Classification Subject The topic of the resource ensemble learning models; Machine learning; web page classification; web scraping Description An account of the resource The amount of data available on web pages is enormous, and extracting the relevant information and classifying them is an important task. Web page classification finds applications in web content filtering, maintaining and expanding web directories, building efficient crawlers, etc. Machine Learning methods known for their well-established classification approaches have proved to be effective in web page classification. The present work uses ensemble methods like Bagging Meta Estimator, Random Forest, Adaptive boosting, Gradient Tree boosting, Extreme Gradient boosting and stacking to improve single classifiers results. One dataset is manually created to classify web pages into IoT projects and non-IoT projects. Another publicly available dataset is used to classify publications- and conference-related web pages. The advantage of the Ensemble methods over single classifiers has been validated, and various parameters to tune the Ensemble classifiers have been presented and analysed, with accuracy being the metric for performance. Features like learning rate, number of estimators, and maximum number of features have been tuned besides other parameters, and a comparison has been presented. 2023 Scrivener Publishing LLC. Creator An entity primarily responsible for making the resource Dutta J.; Kim Y.W.; Dominic D. Source A related resource from which the described resource is derived Data Engineering and Data Science: Concepts and Applications, pp. 137-172. Publisher An entity responsible for making the resource available wiley Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781119841999.ch6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781119841999.ch6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174097373&amp;doi=10.1002%2F9781119841999.ch6&amp;partnerID=40&amp;md5=6be3d15c2d4e0f8060d7a0c1e552110b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174097373&amp;doi=10.1002%2f9781119841999.ch6&amp;partnerID=40&amp;md5=6be3d15c2d4e0f8060d7a0c1e552110b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-111984199-9; 978-111984187-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dutta J., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Kumbalgodu, Bangalore, India; Kim Y.W., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Kumbalgodu, Bangalore, India; Dominic D., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Kumbalgodu, Bangalore, India