Cancer Tumour Classification

Start by introducing the 30 values of the Tumour Features

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i Mean of distances from center to points on the perimeter of the tumour.
i Mean of standard deviation of gray-scale values in the tumour.
i Mean of perimeter lengths of the tumour.
i Mean of the area covered by the tumour.
i Mean of local variation in radius lengths of the tumour.
i Mean of the compactness of the tumour.
i Mean of the concavity of the tumour.
i Mean of the number of concave points in the tumour.
i Mean of the symmetry of the tumour.
i Mean of the fractal dimension of the tumour.
i Standard error of distances from center to points on the perimeter of the tumour.
i Standard error of standard deviation of gray-scale values in the tumour.
i Standard error of perimeter lengths of the tumour.
i Standard error of the area covered by the tumour.
i Standard error of local variation in radius lengths of the tumour.
i Standard error of the compactness of the tumour.
i Standard error of the concavity of the tumour.
i Standard error of the number of concave points in the tumour.
i Standard error of the symmetry of the tumour.
i Standard error of the fractal dimension of the tumour.
i Worst (largest) distance from center to points on the perimeter of the tumour.
i Worst (largest) standard deviation of gray-scale values in the tumour.
i Worst (largest) perimeter lengths of the tumour.
i Worst (largest) area covered by the tumour.
i Worst (largest) local variation in radius lengths of the tumour.
i Worst (largest) compactness of the tumour.
i Worst (largest) concavity of the tumour.
i Worst (largest) number of concave points in the tumour.
i Worst (largest) symmetry of the tumour.
i Worst (largest) fractal dimension of the tumour.