algorithms, focusing primarily on Ordinary Least Squares (OLS), K-Nearest Neighbor (KNN), Ridge, and Lasso regressions. Our …

. Four supervised machine learning models are employed: Linear Regression, K-Nearest Neighbor, Support Vector Regressor, and …

condition monitoring of electric drive trains in supply chains. Large data is used to train linear discriminant analysis, K-nearest … neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven …

machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision …

. We use a database of 924 credit records of Tunisian firms granted by a Tunisian commercial bank from 2003 to 2006. The K-Nearest … Neighbor classifier algorithm was conducted and the results indicate that the best information set is relating to accrual and …