Evaluasi Komparatif Random Forest, LightGBM dan MLP pada Dataset Tabular UCI dengan Beragam Karakteristik
Classification performance on tabular data can vary according to dataset characteristics, class distribution, feature structure, and learning mechanisms. This study aims to comparatively evaluate the performance of Random Forest, LightGBM, and Multi-Layer Perceptron on heterogeneous UCI tabular datasets using a consist...