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 : 101
	Class [ 3] SVs : 22
	Class [ 2] SVs : 41
	Class [ 8] SVs : 5
	Class [ 4] SVs : 10
	Class [ 1] SVs : 18
	Class [ 5] SVs : 4
	Class [ 6] SVs : 1
Time Elapsed : 0.094000 Seconds 
=======================================

=======================================
Accuracy = 69.0476% (29/42) 
        1    2    3    4    5
C: 1    0    3    0    0    0    3 0.0000%
C: 2    0   28    0    0    0   28 100.0000%
C: 3    0    6    1    0    0    7 14.2857%
C: 4    0    0    1    0    0    1 0.0000%
C: 5    0    0    3    0    0    3 0.0000%
=======================================

1 V R:  100  0.001
Total SVs : 107
	Class [ 3] SVs : 22
	Class [ 2] SVs : 47
	Class [ 8] SVs : 5
	Class [ 4] SVs : 10
	Class [ 1] SVs : 18
	Class [ 5] SVs : 4
	Class [ 6] SVs : 1
Time Elapsed : 0.094000 Seconds 
=======================================

=======================================
Accuracy = 66.6667% (28/42)
        1    2    3    4    5
C: 1    1    2    0    0    1    4 25.0000%
C: 2    0   27    0    0    6   33 81.8182%
C: 3    0    1    0    0    1    2 0.0000%
C: 4    0    0    0    0    3    3 0.0000%
C: 5    0    0    0    0    0    0 -1.#IND%
=======================================

DAG: 100  0.9
otal SVs : 72
	Class [ 3] SVs : 19
	Class [ 2] SVs : 23
	Class [ 8] SVs : 5
	Class [ 4] SVs : 9
	Class [ 1] SVs : 11
	Class [ 5] SVs : 4
	Class [ 6] SVs : 1
Time Elapsed : 0.109000 Seconds 
=======================================

=======================================
Accuracy = 71.4286% (30/42)
        1    2    3    4    5
C: 1    2    1    0    0    0    3 66.6667%
C: 2    0   28    0    0    1   29 96.5517%
C: 3    0    6    0    0    1    7 0.0000%
C: 4    0    0    0    0    2    2 0.0000%
C: 5    0    1    0    0    0    1 0.0000%
=======================================