Table 3 Performance metrics for benchmarks (BM) and models (mean and 95% confidence interval)
From: Students’ complex trajectories: exploring degree change and time to degree
Benchmark/Algorithm | RMSE | MAE | \(R^2\) | MAPE |
|---|---|---|---|---|
BM Prog. duration | 1.139 | 0.666 | − 0.003 | 0.158 |
BM Prog. median TTD | 1.169 | 0.681 | 0.017 | 0.168 |
DT | 0.924 (0.824, 1.024) | 0.667 (0.600, 0.726) | 0.617 (0.558, 0.687) | 0.155 (0.141, 0.172) |
RF | 0.863 (0.765, 0.963) | 0.609 (0.542, 0.676) | 0.666 (0.610, 0.727) | 0.141 (0.125, 0.158) |
SVM | 0.898 (0.799, 0.999) | 0.619 (0.555, 0.688) | 0.638 (0.565, 0.707) | 0.144 (0.126, 0.163) |
MLP | 0.930 (0.828, 1.034) | 0.663 (0.605, 0.721) | 0.612 (0.538, 0.682) | 0.156 (0.140, 0.175) |