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IEEE/ICACT20220021 Slide.12        [Big Slide]	Oral Presentation
	we use machine learning algorithmss to predict compression ratio. There are six representative regression methods: DT (decision tree), RF (random forest), AB (adaptive boosting), GB(Gradient boosting), LR (Linear regression), Voting, and ANN(artificial neural networks). And then evaluate five representative regression methods: DT, RF, AB, GB, LR, and ANN. Additionally, we add Voting algorithms against DT, AB, and RF to balance out their mechanisms

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