Abstract: This study investigates how LED lighting affects plant growth using Logistic Regression and SHAP-based Explainable AI. Five agriculture datasets were analyzed, and models including SVM and ...
Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...
We will use a dataset on high school students’ choice of academic program (general, academic, vocational) to illustrate the methods. Binary logistic regression ...
Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...