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. 2019 Dec 12;11(12):2007. doi: 10.3390/cancers11122007

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© 2019 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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The ROC curves with AUC for different algorithms (a) Random Forest, (b) Support Vector Machine, (c) Logistic Regression, (d) Multilayer Perceptron, (e) K-Nearest Neighbors, and (f) AdaBoost, for tumor staging taking TAS as a prognostic factor.

The ROC curves with AUC for different algorithms (a) Random Forest, (b) Support Vector Machine, (c) Logistic Regression, (d) Multilayer Perceptron, (e) K-Nearest Neighbors, and (f) AdaBoost, for tumor staging taking TAS as a prognostic factor.