Using multi-task learning to determine gas-phase metallicity of star-forming galaxies

Open Access

Table 2

Performance comparison of models with and without channel attention.

Model	Classification				Regression
Model	Accuracy	Precision	Recall	F1	MSE	MAE	R²	SD
Without Attention	0.9561	0.9561	0.9561	0.9561	0.0025	0.0334	0.9547	0.0468
With Attention	0.9701	0.9701	0.9701	0.9701	0.0014	0.0223	0.9730	0.0374

Notes. The precision, recall, and F1 values for classification are the mean metrics over the four classes.

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