| Abstract
| - The Support Vector Machine (SVM) classification algorithm, recently developed from the machine learningcommunity, was used to diagnose breast cancer. At the same time, the SVM was compared to severalmachine learning techniques currently used in this field. The classification task involves predicting the stateof diseases, using data obtained from the UCI machine learning repository. SVM outperformed k-meanscluster and two artificial neural networks on the whole. It can be concluded that nine samples could bemislabeled from the comparison of several machine learning techniques.
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