Improved Decision Tree Accuracy (C4.5) with Attribute Reduction Using Forward Selection in Data Classification
Raden Mas Rizky Yohannes Cristanto, Elviawaty Muisa Zamzami, Fahmi Fahmi · 2024
The main process in the formation of Decision Tree C4.5 is the separation of attributes. However, the attribute separation procedure in C4.5 still cannot optimize prediction accuracy in decision tree formation because unwanted features can lead to noisy data and less relevant features, which in turn