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IEEE/ICACT20220035 Slide.10        [Big Slide]       [YouTube]	Oral Presentation
	Tables III and IV show the model testing performance evaluated with accuracy, precision, recall, and F1-score. We select the feature set with the highest F1-score from the training to evaluate the model for testing. The SAD dataset outperforms all four tests while the highest scores in all the four metrics are achieved by the VRF model (i.e., model without one of the control models of grid search) in ORNL which is, however, close to the performance of the VGRF model.

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