Table 2.

Summary of facies prediction using different supervised machine learning algorithms and AutoML.

ML algorithm	Facies	Precision	Recall	F1-score
Logistic regression	Sand	0.71	0.68	0.7
	Shaly Sand	0.44	0.44	0.44
	Shale	0.4	0.29	0.33
	Coal	0.56	0.73	0.63
	Macro average	0.53	0.53	0.53
	Weighted average	0.53	0.54	0.53
Gradient boosting machine	Sand	0.92	0.85	0.88
	Shaly sand	0.94	0.79	0.86
	Shale	0.67	0.95	0.78
	Coal	0.92	0.76	0.83
	Macro average	0.86	0.84	0.84
	Weighted average	0.86	0.83	0.84
AutoML_GBM	Sand	0.98	0.97	0.98
	Shaly Sand	0.95	0.98	0.97
	Shale	0.99	0.99	0.99
	Coal	0.99	0.98	0.99
	Macro average	0.98	0.98	0.98
	Weighted average	0.98	0.98	0.98