One fast course delivery approach or trend, constructivism in higher education is based on Learner prioritization in the learning process where a ... we built a classifier model using the J48 Decision ...

2) improving the decision tree algorithm with Radom Forest and CART. 3) applying the DTC_GF algorithm to predict students' learning achievements—good or bad.

Choosing the right algorithm for machine learning ... Random Forest is an ensemble learning method, involving multiple Decision Trees combined to improve the accuracy of prediction and reduce ...

Bayesian Decision Trees provide a probabilistic framework that ... there has been lot of efforts aimed at increasing model interpretability in machine learning applications [1–5]. The proposed ...

It's often useful in machine learning to use interpretable models for prediction ... ensembles of decision trees. However, to create a single decision tree that is both accurate and interpretable (of ...