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IEEE/ICACT20260142 Slide.25        [Big Slide]	Oral Presentation
	Here are the results on normal and fault data of two algorithms. With our dataset, linear regression have show the better efficiency than decision tree regression on both the training dataset and the testing dataset. The result on the test dataset was shown in this figure in two cases: normal logging and abnormal logging, which using DEBUG level logger and is usually not used in product environment. On normal data, the regression fits well (left scatter plot); on fault data, the actual points deviate massively from the predicted line (right plot).

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