fig21

Machine learning framework for breast cancer detection with feature selection with L2 ridge regularization: insights from multiple datasets

Figure 21. Confusion matrix for (a) Decision Tree, (b) Random forest, (c) SVM, (d) Neural Network, (e) K-nearest neighbor, (f) Naïve Bayes, (g) XGBoost, and (h) AdaBoost.

Journal of Translational Genetics and Genomics
ISSN 2578-5281 (Online)
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