

biopsy(MASS)                                 R Documentation

_B_i_o_p_s_y _D_a_t_a _o_n _B_r_e_a_s_t _C_a_n_c_e_r _P_a_t_i_e_n_t_s

_D_e_s_c_r_i_p_t_i_o_n_:

     This breast cancer database was obtained from the Uni-
     versity of Wisconsin Hospitals, Madison from Dr.
     William H. Wolberg. He assessed biopsies of breast
     tumours for 699 patients up to 15 July 1992; each of
     nine attributes has been scored on a scale of 1 to 10,
     and the outcome is also known. There are 699 rows and
     11 columns.

_A_r_g_u_m_e_n_t_s_:

      ID: Sample code number (not unique)

      V1: Clump thickness

      V2: Uniformity of cell size

      V3: Uniformity of cell shape

      V4: Marginal adhesion

      V5: Single epithelial cell size

      V6: Bare nuclei (16 values are missing)

      V7: Bland chromatin

      V8: Normal nucleoli

      V9: Mitoses

   class: `"benign"' or `"malignant"'

_F_o_r_m_a_t_:

     This data frame contains the following columns:

_S_o_u_r_c_e_:

     P. M. Murphy and D. W. Aha  (1992). UCI Repository of
     machine learning databases. [Machine-readable data
     repository]. Irvine, CA: University of California,
     Department of Information and Computer Science.

     O. L. Mangasarian and W. H. Wolberg (1990) Cancer diag-
     nosis via linear programming.  SIAM News 23, pp 1  18.

     William H. Wolberg and O.L. Mangasarian (1990) Multi-
     surface method of pattern separation for medical diag-
     nosis applied to breast cytology.  Proceedings of the
     National Academy of Sciences, U.S.A., 87,  pp
     9193-9196.

     O. L. Mangasarian, R. Setiono and W.H. Wolberg (1990)
     Pattern recognition via linear programming: Theory and
     application to medical diagnosis.  In Large-scale
     Numerical Optimization eds Thomas F. Coleman and Yuying
     Li, SIAM Publications, Philadelphia, pp 22-30.

     K. P. Bennett and O. L. Mangasarian (1992) Robust lin-
     ear programming discrimination of two linearly insepa-
     rable sets.  Optimization Methods and Software 1, pp.
     23-34 (Gordon  Breach Science Publishers).

