Machine learning techniques to select Be star candidates - An application in the OGLE-IV Gaia south ecliptic pole field

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Table 5

Cross-validation results of classification trees.

	Reference
Prediction	BeSC	Ceph	δSct	EBS	LPV	RRLyr	T2Ceph

BeSC	0.93	0.02		0.02	0.02		0.01
Ceph	0.01	0.77				0.18	0.13
δSct		0.01	0.89	0.06		0.03
EBS	0.01	0.02	0.05	0.86	0.01	0.03	0.04
LPV	0.04	0.01		0.02	0.94		0.06
RRLyr		0.05	0.04	0.01		0.69	0.06
T2Ceph	0.01	0.13	0.00	0.02	0.03	0.06	0.70

Recall	0.93	0.77	0.89	0.86	0.94	0.69	0.70
CV SD	0.03	0.02	0.02	0.01	0.01	0.01	0.08

Precision	0.93	0.70	0.90	0.84	0.87	0.81	0.74
CV SD	0.02	0.03	0.01	0.03	0.03	0.03	0.02

Number	675	8006	2788	32 259	343 785	44 217	603

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