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| # | method | algorithm | skup | Test 1 | Test 2 | Test 3 | |--------|------------------|--------------------------|--------------|---------------------------------------------------------|---------------------------------------------------------|---------------------------------------------------------| | 1.a.i | Machine learning | Logistic regression | Train combined | Precision=0.640, Recall=0.614, F1=0.625, Accuracy=0.614 | Precision=0.632, Recall=0.630, F1=0.626, Accuracy=0.630 | Precision=0.717, Recall=0.691, F1=0.686, Accuracy=0.691 | | 1.b.i | Machine learning | SVM RBF kernel | Train combined | Precision=0.652, Recall=0.632, F1=0.640, Accuracy=0.632 | Precision=0.621, Recall=0.626, F1=0.620, Accuracy=0.626 | Precision=0.764, Recall=0.741, F1=0.735, Accuracy=0.741 | |