Feature Augmentation of Classifiers Using Learning Time Series Shapelets Transformation for Night Setback Classification of District Heating Substations

Table 5

Out-of-sample testing of models with original features.

Classifiers	Out-of-sample testing
	precision_label0	recall_label0	f1_label0	precision_label1	recall_label1	f1_label1
DT	0.830	0.469	0.599	0.638	0.907	0.749
KNN	0.925	0.385	0.544	0.619	0.970	0.756
LR	0.879	0.317	0.466	0.591	0.958	0.731
MLP	0.878	0.245	0.383	0.569	0.967	0.717
RF	0.903	0.404	0.558	0.624	0.958	0.755
SVC	0.953	0.252	0.398	0.576	0.988	0.728