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 62 行

1-v-1
Total SVs : 85
	Class [ 2] SVs : 30
	Class [ 3] SVs : 19
	Class [ 1] SVs : 17
	Class [ 5] SVs : 5
	Class [ 4] SVs : 8
	Class [ 8] SVs : 5
	Class [ 6] SVs : 1
Time Elapsed : 0.062000 Seconds 
=======================================

=======================================
Accuracy = 80.9524% (34/42)
        1    2    3    5    4
C: 1    0    4    0    0    0    4 0.0000%
C: 2    0   29    2    0    0   31 93.5484%
C: 3    0    0    4    0    1    5 80.0000%
C: 5    0    0    0    1    1    2 50.0000%
C: 4    0    0    0    0    0    0 -1.#IND%


1-v-a
Total SVs : 104
	Class [ 2] SVs : 41
	Class [ 3] SVs : 25
	Class [ 1] SVs : 17
	Class [ 5] SVs : 5
	Class [ 4] SVs : 10
	Class [ 8] SVs : 5
	Class [ 6] SVs : 1
Time Elapsed : 0.063000 Seconds 
=======================================

=======================================
Accuracy = 80.9524% (34/42)
        1    2    3    5    4
C: 1    0    4    0    0    0    4 0.0000%
C: 2    0   29    2    0    0   31 93.5484%
C: 3    0    0    4    0    1    5 80.0000%
C: 5    0    0    0    1    1    2 50.0000%
C: 4    0    0    0    0    0    0 -1.#IND%
DAG
Total SVs : 91
	Class [ 2] SVs : 33
	Class [ 3] SVs : 22
	Class [ 1] SVs : 17
	Class [ 5] SVs : 5
	Class [ 4] SVs : 8
	Class [ 8] SVs : 5
	Class [ 6] SVs : 1
Time Elapsed : 0.063000 Seconds 
=======================================

=======================================
Accuracy = 80.9524% (34/42)
        1    2    3    5    4
C: 1    0    4    0    0    0    4 0.0000%
C: 2    0   29    2    0    0   31 93.5484%
C: 3    0    0    4    0    1    5 80.0000%
C: 5    0    0    0    1    1    2 50.0000%
C: 4    0    0    0    0    0    0 -1.#IND%