Efficient Hyperparameter Tuning with Grid Search for Text Categorization using kNN Approach with BM25 Similarity

In machine learning, hyperparameter tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. Several approaches have been widely adopted for hyperparameter tuning, which is typically a time consuming process. We propose an efficient technique to speed up the proce...

Full description

Bibliographic Details

Published in:	Open Computer Science
Main Authors:	Ghawi Raji, Pfeffer Jürgen
Format:	Article
Language:	English
Published:	De Gruyter 2019-08-01
Subjects:	hyperparameter tuning text categorization grid search knn bm25
Online Access:	https://doi.org/10.1515/comp-2019-0011