breastw                package:dprep                R Documentation

_T_h_e _B_r_e_a_s_t _W_i_s_c_o_n_s_i_n _d_a_t_a_s_e_t

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

     This is the Breast Wisconsin dataset from the UCI Machine Learning
     Repository.  Sixteen instances with missing values have been
     deleted from the original dataset.

_U_s_a_g_e:

     data(breastw)

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

     A data frame with 683 observations on the following 10 variables.

     _V_1 Clump Thickness 

     _V_2 Uniformity of Cell Size

     _V_3 Uniformity of Cell Shape

     _V_4 Marginal Adhesion

     _V_5 Single Epithelial Cell Size

     _V_6 Bare Nuclei

     _V_7 Bland Chromatin 

     _V_8 Normal Nucleoli

     _V_9 Mitoses

     _V_1_0 Class: 1 for benign, 2 for Malign

_D_e_t_a_i_l_s:

     All the features assume values in the range 1-10. The original
     dataset contains 699 observations but 16 of them have been delate
     because contain missing values

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

     The UCI Machine Learning Database Repository at:

        *  <URL: ftp://ftp.ics.uci.edu/pub/machine-learning-databases>

        *  <URL: http://www.ics.uci.edu/~mlearn/MLRepository.html>

_E_x_a_m_p_l_e_s:

     #Detecting outliers in class-1 using the LOF algorithms---
     data(breastw)
     maxlof(breastw[breastw[,10]==1,],name="",30,40)

