Use of Alteryx for developing classification model of biotic traits in rice

The Alteryx Intelligent Suite's Assisted Modeling package was employed to develop classification models without requiring programming expertise. Data was split into training (80%) and testing (20%) sets. Four machine learning algorithms (Decision Tree, Random Forest, Linear Regression, and XGBoost) were evaluated using accuracy, precision, AUROC, and confusion matrix metrics.