Shuttle               package: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 Computer
           Science; University of Sydney; N.S.W.; Australia.

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

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

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

     and were converted to R format by
     Evgenia.Dimitriadou@ci.tuwien.ac.at.

