machine learning/results(corrected).md

#	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