Abstract: Aim: This research work focuses on analyzing the performance of a proposed random forest method with that of Gaussian Naive Bayes in predicting software problems. Materials and Methods: The ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Abstract: Aim: This experiment compares Random Forest and Naïve Bayes algorithms, highlighting Random Forest’s higher accuracy in categorizing sensory qualities and optimizing juice quality assessment ...