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Several measurements are computed from a digitized image of a fine needle aspirate of a breast mass. The goal of this project is to classify the samples as malignant or benign. The data set is provided by UCI Machine learning repository. The overall balanced accuracy of the proposed Ensemble method on the final validation set is 98.84%.

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Breast_Cancer

Several measurements are computed from a digitized image of a fine needle aspirate of a breast mass. The goal of this project is to classify the samples as malignant or benign. The data set is provided by UCI Machine learning repository at the following link.

https://archive.ics.uci.edu/ml/datasets/Breast_Cancer_Wisconsin_(Diagnostic)

The overall balanced accuracy of the proposed Ensemble method on the final validation set is 98.84%

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Several measurements are computed from a digitized image of a fine needle aspirate of a breast mass. The goal of this project is to classify the samples as malignant or benign. The data set is provided by UCI Machine learning repository. The overall balanced accuracy of the proposed Ensemble method on the final validation set is 98.84%.

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