Table 1.

Fivefold cross-validation accuracy results of ML models. Accuracy is calculated as the fraction of correct predictions using sklearn.metrics.accuracy_score.

Model	TUG Experiment	TUG Synthetic	FTSTS Experiment	FTSTS Synthetic
SVM	0.3099	0.3921	0.9778	0.3625
Regression	0.35	0.0605	1	0.0705
k-NN (k = 5)	0.475	0.7006	0.6917	0.6791
XGboost before hyperparam tuning	0.4600	0.7667	0.9778	0.7827
XGboost after hyperparam tuning	0.65	0.8006	1	0.7965