Breast cancer is cancer that develops from breast tissue. In this dataset, we provide attributes of images

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Breast cancer is cancer that develops from breast tissue. In this dataset, we provide attributes of images of a fine needle aspirate (FNA) of a breast mass. They describe the characteristics of the cell nuclei present in the image. 5% of the labels (column 1) of this dataset has been randomly picked and changed from their actual label ('B' to 'M' and 'M' to 'B').

How do I identify the outliers (mislabeled 5% samples) from the dataset using appropriate techniques and visualization?

Posted Date: May 19, 2024 02:05 AM

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Breast cancer is cancer that develops from breast tissue. In this dataset, we provide attributes of images

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