

Shuttle(mlbench)                             R Documentation

_S_h_u_t_t_l_e _D_a_t_a_s_e_t _(_S_t_a_t_l_o_g _v_e_r_s_i_o_n_)

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

     The shuttle dataset contains 9 attributes all of which
     are numerical with the first one being time.  The last
     column is the class with the following 7 levels:
     Rad.Flow, Fpv.Close, Fpv.Open, High, Bypass, Bpv.Close,
     Bpv.Open.

     Approximately 80% of the data belongs to class 1.
     Therefore the default accuracy is about 80%. The aim
     here is to obtain an accuracy of 99 - 99.9%.

_U_s_a_g_e_:

     data(Shuttle)

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

     A data frame with 58,000 observations on 9 numerical
     independent variables and 1 target class.

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

        * Source: Jason Catlett of Basser Department of Com-
          puter Science; University of Sydney; N.S.W.; Aus-
          tralia.

     These data have been taken from the UCI Repository Of
     Machine Learning Databases at

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

        * http://www.ics.uci.edu/mlearn/MLRepository.html

     and were converted to R format by Evgenia.Dimitri-
     adou@ci.tuwien.ac.at.

