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. 2018 Nov 11;2018:2964816. doi: 10.1155/2018/2964816

Figure 6.

Figure 6

The importance of the classification variables features. The bar charts (a), (b), and (c) represent the results of feature importance of AdaBoost, Gradient Boosting, and Random Forest (RF), respectively. The y-axis represents the value of the importance for variables features. Note that “yes" represents that K-means is used to reduce noise in this model and vice versa.