结果.txt

来自「chi2实验(序列)是基于概率统计的连续属性离散化方法」· 文本 代码 · 共 65 行

1 V 1: 100 0.1
Total SVs : 120
	Class [ 1] SVs : 34
	Class [ 2] SVs : 45
	Class [ 7] SVs : 10
	Class [ 5] SVs : 10
	Class [ 3] SVs : 16
	Class [ 6] SVs : 5
Time Elapsed : 0.141000 Seconds 
=======================================

=======================================
Accuracy = 67.4419% (29/43)
        6    1    2    7    5    3
C: 6    1    0    0    0    0    0    1 100.0000%
C: 1    0   13    4    0    0    1   18 72.2222%
C: 2    1    6    8    0    0    0   15 53.3333%
C: 7    0    1    0    6    0    0    7 85.7143%
C: 5    0    0    0    0    1    0    1 100.0000%
C: 3    0    0    1    0    0    0    1 0.0000%
=======================================
 
1 V R: 10  0.1
Total SVs : 149
	Class [ 1] SVs : 43
	Class [ 2] SVs : 57
	Class [ 7] SVs : 14
	Class [ 5] SVs : 12
	Class [ 3] SVs : 16
	Class [ 6] SVs : 7
Time Elapsed : 0.141000 Seconds 
=======================================

=======================================
Accuracy = 67.4419% (29/43)
        6    1    2    7    5    3
C: 6    1    0    0    0    0    0    1 100.0000%
C: 1    0    9    9    0    0    0   18 50.0000%
C: 2    1    2   12    0    0    0   15 80.0000%
C: 7    0    1    0    6    0    0    7 85.7143%
C: 5    0    0    0    0    1    0    1 100.0000%
C: 3    0    0    1    0    0    0    1 0.0000%
=======================================

DAG: 10 0.5
Total SVs : 125
	Class [ 1] SVs : 34
	Class [ 2] SVs : 49
	Class [ 7] SVs : 10
	Class [ 5] SVs : 10
	Class [ 3] SVs : 16
	Class [ 6] SVs : 6
Time Elapsed : 0.140000 Seconds 
=======================================

=======================================
Accuracy = 67.4419% (29/43)
        6    1    2    7    5    3
C: 6    1    0    0    0    0    0    1 100.0000%
C: 1    0   12    6    0    0    0   18 66.6667%
C: 2    1    5    9    0    0    0   15 60.0000%
C: 7    0    1    0    6    0    0    7 85.7143%
C: 5    0    0    0    0    1    0    1 100.0000%
C: 3    0    0    1    0    0    0    1 0.0000%
=======================================