Table 4. Area under the Curve Values for Prediction of 10 Assays of Matrix 1^a.

assay code	CCBM	NB	RF	SVM	single-task DNN	multitask DNN	GraphConv
A	0.88	0.86	0.93	0.94	0.93	0.93	0.92
B	0.64	0.68	0.70	0.69	0.67	0.66	0.69
C	0.66	0.64	0.69	0.67	0.64	0.64	0.68
D	0.62	0.63	0.62	0.62	0.63	0.60	0.65
E	0.86	0.91	0.94	0.91	0.90	0.88	0.89
F	0.82	0.82	0.87	0.88	0.87	0.86	0.87
G	0.55	0.55	0.58	0.57	0.54	0.57	0.64
H	0.70	0.75	0.77	0.76	0.74	0.75	0.76
I	0.82	0.86	0.89	0.88	0.86	0.83	0.88
J	0.84	0.88	0.93	0.94	0.93	0.90	0.94

^aReported are AUC values for prediction of 10 assays (codes A–J) using different machine learning methods. For each assay, best results are indicated in bold.