Abstract:In the field of machine learning, hyperparameter tuning is a technique used to determine which learning algorithms have the most effective parameters. Using the Grid Search strategy as part of the machine learning algorithms, we suggest a few different ways to improve the accuracy of text categorization. In this research, we combined the TF-IDF feature selection approach with three different machine learning algorithms. These algorithms are Multinomial Logistic Regression MLR, Support Vector Machine SVM, and A… Show more
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