MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine

Table 5

The average accuracy of different algorithms weekly, including logistic regression (LR), support vector machine (SVM), back propagation neural network (BP), decision tree (DT), entropy net (EN), LSTM, ELM, and GA-ELM.

Week	Algorithms
	DT-ELM	LR	SVM	BP	DT	EN	LSTM	ELM	GA-ELM
Week1	0.8303	0.6633	0.5643	0.6992	0.6876	0.7067	0.7067	0.8103	0.8149
Week2	0.8568	0.686	0.6581	0.705	0.6957	0.7157	0.7218	0.8367	0.8462
Week3	0.872	0.7284	0.7218	0.7443	0.7325	0.757	0.7758	0.8401	0.8467
Week4	0.9642	0.8726	0.827	0.8892	0.8627	0.8773	0.8773	0.9492	0.9507
Week5	0.941	0.8498	0.8618	0.8447	0.8526	0.8656	0.8656	0.9041	0.9154