Research Article
MOOC Dropout Prediction Using a Hybrid Algorithm Based on Decision Tree and Extreme Learning Machine
Table 7
The average F1-score of different algorithms weekly.
| Week | Algorithms | DT-ELM | LR | SVM | BP | DT | EN | LSTM | ELM | GA-ELM |
| Week1 | 0.8542 | 0.7378 | 0.5907 | 0.7719 | 0.798 | 0.788 | 0.8025 | 0.8342 | 0.8453 | Week2 | 0.8956 | 0.7913 | 0.7341 | 0.8091 | 0.8 | 0.8238 | 0.8287 | 0.8677 | 0.8893 | Week3 | 0.9021 | 0.8264 | 0.8107 | 0.8392 | 0.8321 | 0.8511 | 0.8508 | 0.8751 | 0.8878 | Week4 | 0.9667 | 0.9315 | 0.8982 | 0.9348 | 0.9222 | 0.9358 | 0.9301 | 0.9488 | 0.9565 | Week5 | 0.9558 | 0.9118 | 0.9185 | 0.9092 | 0.9149 | 0.905 | 0.9191 | 0.9389 | 0.9457 |
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