Abstract: Present work explores the use of machine learning algorithms to classify gasoline-powered vehicles according to their carbon dioxide emissions. The main objective is to evaluate the ...
Abstract: The study aimed to compare the accuracy of symptom-based datasets and Decision Tree and Gaussian Naïve Bayes algorithms in predicting lung cancer risk. Nonintercept Indirect Estimation: A ...