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 : 138
	Class [ 3] SVs : 14
	Class [ 1] SVs : 42
	Class [ 7] SVs : 13
	Class [ 2] SVs : 54
	Class [ 5] SVs : 9
	Class [ 6] SVs : 6
Time Elapsed : 0.047000 Seconds 
=======================================

=======================================
Accuracy = 60.4651% (26/43)
        6    2    5    1    3    7
C: 6    1    2    0    0    0    0    3 33.3333%
C: 2    0   10    0    1    0    0   11 90.9091%
C: 5    0    1    0    0    0    0    1 0.0000%
C: 1    0   10    0   12    0    0   22 54.5455%
C: 3    0    2    0    1    0    0    3 0.0000%
C: 7    0    0    0    0    0    3    3 100.0000%
 
1 V R: 
Total SVs : 125
	Class [ 3] SVs : 13
	Class [ 1] SVs : 34
	Class [ 7] SVs : 11
	Class [ 2] SVs : 52
	Class [ 5] SVs : 9
	Class [ 6] SVs : 6
Time Elapsed : 0.047000 Seconds 
=======================================

=======================================
Accuracy = 65.1163% (28/43)
        6    2    5    1    3    7
C: 6    3    0    0    0    0    0    3 100.0000%
C: 2    1    9    0    1    0    0   11 81.8182%
C: 5    0    1    0    0    0    0    1 0.0000%
C: 1    0    6    0   11    4    1   22 50.0000%
C: 3    0    1    0    0    2    0    3 66.6667%
C: 7    0    0    0    0    0    3    3 100.0000%

DAG: 
Total SVs : 138
	Class [ 3] SVs : 14
	Class [ 1] SVs : 42
	Class [ 7] SVs : 13
	Class [ 2] SVs : 54
	Class [ 5] SVs : 9
	Class [ 6] SVs : 6
Time Elapsed : 0.031000 Seconds 
=======================================

=======================================
Accuracy = 60.4651% (26/43)
        6    2    5    1    3    7
C: 6    1    2    0    0    0    0    3 33.3333%
C: 2    0   10    0    1    0    0   11 90.9091%
C: 5    0    1    0    0    0    0    1 0.0000%
C: 1    0   10    0   12    0    0   22 54.5455%
C: 3    0    2    0    1    0    0    3 0.0000%
C: 7    0    0    0    0    0    3    3 100.0000%