Datasets:
wwydmanski
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Update README.md
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README.md
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@@ -51,12 +51,21 @@ cd math-prog/cpo-dataset/machine-learn/WDBC/
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Ten real-valued features are computed for each cell nucleus:
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a) radius (mean of distances from center to points on the perimeter)
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b) texture (standard deviation of gray-scale values)
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c) perimeter
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d) area
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e) smoothness (local variation in radius lengths)
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f) compactness (perimeter^2 / area - 1.0)
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g) concavity (severity of concave portions of the contour)
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h) concave points (number of concave portions of the contour)
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i) symmetry
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j) fractal dimension ("coastline approximation" - 1)
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Ten real-valued features are computed for each cell nucleus:
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a) radius (mean of distances from center to points on the perimeter)
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+
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b) texture (standard deviation of gray-scale values)
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+
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c) perimeter
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+
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d) area
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+
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e) smoothness (local variation in radius lengths)
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+
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f) compactness (perimeter^2 / area - 1.0)
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+
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g) concavity (severity of concave portions of the contour)
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+
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h) concave points (number of concave portions of the contour)
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+
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i) symmetry
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+
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j) fractal dimension ("coastline approximation" - 1)
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