6. A typical example

Consider the Ionosphere dataset available from the Machine Learning Repository in the following URL: http://www.ics.uci.edu/~mlearn/MLRepository.html. The ionosphere dataset contains data from the Johns Hopkins Ionosphere database. The two-class dataset contains 351 examples of 34 features each. The datasets has been divided into two files, ionosphere.train and ionosphere.test under directory examples. A typical run for the GenClass will be

../bin/genclass -p ionosphere.train -t ionosphere.test -g 10 -o csv

The output of this command is:

1, 15.43, 19.32

2, 15.43, 19.32

3, 15.43, 19.32

4, 13.71, 17.05

5, 12.57, 15.34

6, 12.57, 15.34

7, 12.57, 15.34

8, 12, 13.64

9, 12, 13.64

FINAL OUTPUT EXPRESSION= if(!(x7<log(cos(cos(((-788.787)+

((sin(x28)/sin(cos(((-7.17)/x34))))+(-83.6))))))|x6>x13&x7<log(x5))) CLASS=0.00

else CLASS=1.00

TRAIN ERROR = 12.00%

CLASS ERROR = 13.64%

** CONFUSION MATRIX ** Number of classes: 2

102 3

21 50