ionosphere               package:kknn               R Documentation

_J_o_h_n_s _H_o_p_k_i_n_s _U_n_i_v_e_r_s_i_t_y _I_o_n_o_s_p_h_e_r_e _D_a_t_a_b_a_s_e

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

     This radar data was collected by a system in Goose Bay, Labrador. 
     This system consists of a phased array of 16 high-frequency
     antennas with a total transmitted power on the order of 6.4
     kilowatts.  See the paper for more details.  The targets were free
     electrons in the ionosphere. "Good" radar returns are those
     showing evidence of some type of structure  in the ionosphere. 
     "Bad" returns are those that do not; their signals pass through
     the ionosphere.  

     Received signals were processed using an autocorrelation function
     whose arguments are the time of a pulse and the pulse number. 
     There were 17 pulse numbers for the Goose Bay system.  Instances
     in this database are described by 2 attributes per pulse number,
     corresponding to the complex values returned by the function
     resulting from the complex electromagnetic signal.

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

     data(ionosphere)

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

     A data frame with 351 observations on the following 35 variables.
     The first 34 continuous covariables are used for the prediction.
     The 35th attribute is either 'g' ("good") or 'b' ("bad") according
     to the definition summarized above. This is a binary
     classification task.

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

     Vince Sigillito (vgs@aplcen.apl.jhu.edu), Space Physics Group,
     Applied Physics Laboratory, Johns Hopkins University, Johns
     Hopkins Road, Laurel, MD 20723 

     The data have been taken from the UCI Machine Learning Database
     Repository 
      <URL: http://www.ics.uci.edu/~mlearn/MLRepository.html>
         and were converted to R format by K.P.Schliep@massey.ac.nz.

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

     data(ionosphere)

