Research Article
MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine
Table 6
The average AUC of different algorithms weekly.
| Week | Algorithms | DT-ELM | LR | SVM | BP | DT | EN | LSTM | ELM | GA-ELM |
| Week1 | 0.8182 | 0.632 | 0.6272 | 0.6189 | 0.5979 | 0.6256 | 0.6295 | 0.7984 | 0.8066 | Week2 | 0.8357 | 0.6255 | 0.5914 | 0.6216 | 0.6243 | 0.6264 | 0.6844 | 0.8181 | 0.8243 | Week3 | 0.8383 | 0.6527 | 0.6109 | 0.6586 | 0.6438 | 0.667 | 0.7113 | 0.8176 | 0.8261 | Week4 | 0.9412 | 0.7103 | 0.6454 | 0.6117 | 0.6507 | 0.6246 | 0.7698 | 0.9079 | 0.9263 | Week5 | 0.8596 | 0.6652 | 0.6918 | 0.7148 | 0.6954 | 0.7166 | 0.7701 | 0.8268 | 0.8413 |
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