Table 3. Performance of six ML classifiers on MSFT stock Goal I.

Model	Accuracy		F1−score		Precision		Recall
	TD1	TD2	TD1	TD2	TD1	TD2	TD1	TD2
KNN	0.520	0.451	0.515	0.443	0.515	0.441	0.520	0.451
LR	0.536	0.533	0.380	0.383	0.294	0.406	0.536	0.533
NB	0.600	0.482	0.573	0.417	0.604	0.428	0.600	0.482
RF	0.464	0.463	0.459	0.459	0.457	0.458	0.464	0.463
SVM	0.488	0.502	0.417	0.433	0.546	0.570	0.488	0.502
Tree	0.472	0.494	0.467	0.484	0.465	0.484	0.472	0.494

Bold values represent the best performances.