结果.txt

chi2实验(序列)是基于概率统计的连续属性离散化方法

1 V 1:
Total SVs : 64
	Class [ 2] SVs : 20
	Class [ 4] SVs : 7
	Class [ 1] SVs : 9
	Class [ 8] SVs : 3
	Class [ 3] SVs : 19
	Class [ 6] SVs : 1
	Class [ 5] SVs : 5
Time Elapsed : 0.063000 Seconds 
=======================================

=======================================
Accuracy = 97.619% (41/42)
        1    2    3    4    5    8
C: 1    3    0    0    0    0    0    3 100.0000%
C: 2    0   29    0    0    0    0   29 100.0000%
C: 3    0    0    7    0    0    0    7 100.0000%
C: 4    0    0    0    1    0    0    1 100.0000%
C: 5    0    0    0    1    0    0    1 0.0000%
C: 8    0    0    0    0    0    1    1 100.0000%

1 V R:  
Total SVs : 71
	Class [ 2] SVs : 23
	Class [ 4] SVs : 8
	Class [ 1] SVs : 13
	Class [ 8] SVs : 4
	Class [ 3] SVs : 17
	Class [ 6] SVs : 1
	Class [ 5] SVs : 5
Time Elapsed : 0.062000 Seconds 
=======================================

=======================================
Accuracy = 97.619% (41/42)
        1    2    3    4    5    8
C: 1    3    0    0    0    0    0    3 100.0000%
C: 2    0   28    0    0    0    1   29 96.5517%
C: 3    0    0    7    0    0    0    7 100.0000%
C: 4    0    0    0    1    0    0    1 100.0000%
C: 5    0    0    0    0    1    0    1 100.0000%
C: 8    0    0    0    0    0    1    1 100.0000%

DAG: 
Total SVs : 64
	Class [ 2] SVs : 20
	Class [ 4] SVs : 7
	Class [ 1] SVs : 9
	Class [ 8] SVs : 3
	Class [ 3] SVs : 19
	Class [ 6] SVs : 1
	Class [ 5] SVs : 5
Time Elapsed : 0.062000 Seconds 
=======================================

=======================================
Accuracy = 97.619% (41/42)
        1    2    3    4    5    8
C: 1    3    0    0    0    0    0    3 100.0000%
C: 2    0   29    0    0    0    0   29 100.0000%
C: 3    0    0    7    0    0    0    7 100.0000%
C: 4    0    0    0    1    0    0    1 100.0000%
C: 5    0    0    1    0    0    0    1 0.0000%
C: 8    0    0    0    0    0    1    1 100.0000%