Table 4.

Table of class-specific predictive performance of each of the tested general-purpose classifiers. Performance is measured using accuracy (Acc.), precision (Prec.), recall (Rec.), F1-score (F1), and the area under the ROC curve (AUC).

Classifier	Class	Acc.	Prec.	Rec.	F1	AUC
SVM	Artifact	0.85	0.81	0.31	0.45	0.65
	Background Ring	0.72	0.73	0.85	0.79	0.68
	Diffuse Scattering	0.93	0.44	0.25	0.32	0.61
	Ice Ring	0.14	0.08	0.98	0.14	0.52
	Loop Scattering	0.70	0.79	0.40	0.53	0.66
	Non-unif. Detector	0.45	0.39	0.96	0.55	0.56
	Strong Background	0.90	0.89	0.90	0.90	0.90
NB	Artifact	0.78	0.46	0.62	0.53	0.72
	Background Ring	0.61	0.66	0.74	0.70	0.57
	Diffuse Scattering	0.45	0.10	0.84	0.17	0.63
	Ice Ring	0.80	0.17	0.46	0.25	0.64
	Loop Scattering	0.62	0.53	0.71	0.61	0.63
	Non-unif. Detector	0.68	0.55	0.63	0.59	0.67
	Strong Background	0.87	0.90	0.83	0.86	0.87
KNN	Artifact	0.87	0.80	0.48	0.60	0.72
	Background Ring	0.72	0.79	0.74	0.76	0.71
	Diffuse Scattering	0.93	0.60	0.07	0.12	0.53
	Ice Ring	0.93	1.00	0.09	0.16	0.54
	Loop Scattering	0.71	0.62	0.79	0.69	0.72
	Non-unif. Detector	0.75	0.69	0.53	0.60	0.70
	Strong Background	0.89	0.85	0.93	0.89	0.89
RF	Artifact	0.91	0.91	0.60	0.72	0.79
	Background Ring	0.86	0.87	0.91	0.89	0.84
	Diffuse Scattering	0.93	0.50	0.05	0.08	0.52
	Ice Ring	0.95	1.00	0.33	0.49	0.66
	Loop Scattering	0.83	0.82	0.76	0.79	0.82
	Non-unif. Detector	0.81	0.80	0.63	0.71	0.77
	Strong Background	0.93	0.92	0.94	0.93	0.93