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 [ 2] SVs : 33
	Class [ 6] SVs : 5
	Class [ 3] SVs : 11
	Class [ 1] SVs : 36
	Class [ 7] SVs : 10
	Class [ 5] SVs : 6
Time Elapsed : 0.063000 Seconds 
=======================================

=======================================
Accuracy = 78.4615% (51/65)
        6    2    1    3    5    7
C: 6    3    0    0    0    0    0    3 100.0000%
C: 2    1   14    7    0    0    0   22 63.6364%
C: 1    0    1   20    1    0    0   22 90.9091%
C: 3    0    1    1    4    0    0    6 66.6667%
C: 5    0    2    0    0    4    0    6 66.6667%
C: 7    0    0    0    0    0    6    6 100.0000%



1-v-a

Total SVs : 109
	Class [ 2] SVs : 35
	Class [ 6] SVs : 6
	Class [ 3] SVs : 11
	Class [ 1] SVs : 37
	Class [ 7] SVs : 13
	Class [ 5] SVs : 7
Time Elapsed : 0.063000 Seconds 
=======================================

=======================================
Accuracy = 75.3846% (49/65)
        6    2    1    3    5    7
C: 6    3    0    0    0    0    0    3 100.0000%
C: 2    1   13    8    0    0    0   22 59.0909%
C: 1    0    1   19    1    0    1   22 86.3636%
C: 3    0    1    1    4    0    0    6 66.6667%
C: 5    0    1    0    0    4    1    6 66.6667%
C: 7    0    0    0    0    0    6    6 100.0000%

DAG

Total SVs : 101
	Class [ 2] SVs : 33
	Class [ 6] SVs : 5
	Class [ 3] SVs : 11
	Class [ 1] SVs : 36
	Class [ 7] SVs : 10
	Class [ 5] SVs : 6
Time Elapsed : 0.078000 Seconds 
=======================================

=======================================
Accuracy = 75.3846% (49/65)
        6    2    1    3    5    7
C: 6    3    0    0    0    0    0    3 100.0000%
C: 2    1   12    8    1    0    0   22 54.5455%
C: 1    0    1   20    1    0    0   22 90.9091%
C: 3    0    1    1    4    0    0    6 66.6667%
C: 5    0    2    0    0    4    0    6 66.6667%
C: 7    0    0    0    0    0    6    6 100.0000%