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IEEE/ICACT20220021 Slide.14        [Big Slide]	Oral Presentation
	We utilize machine learning libraries from scikit-learn to train and evaluate five machine learning algorithms: DT, RF, AB, GB, LR, Voting and ANN. We set 70% of the data for training and the remaining 30% for the test. This Figure shows the prediction performance on compression ratio for the machine learning model. As we can see, RF, GB, Voting, and ANN show better performances than others in terms of Accuracy.

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