output

vc的源代码程序的基于最小特征向量的元素的集合方法的程序源代码

C4.5 [release 6] rule generator	Mon Sep  1 11:07:08 1997
-------------------------------

    Options:
	File stem </home/staff/farhad/Code/PRG/DATA/monk2>

Read 432 cases (6 attributes) from /home/staff/farhad/Code/PRG/DATA/monk2

------------------
Processing tree 0

Final rules from tree 0:

Rule 1:
    	attribute#1 = 1
    	attribute#3 = 1
    	attribute#6 = 1
	->  class 0  [96.2%]

Rule 17:
    	attribute#2 = 1
    	attribute#3 = 1
    	attribute#6 = 1
	->  class 0  [96.2%]

Rule 21:
    	attribute#3 = 1
    	attribute#5 = 1
    	attribute#6 = 1
	->  class 0  [95.0%]

Rule 2:
    	attribute#1 = 1
    	attribute#2 = 1
    	attribute#3 = 1
	->  class 0  [94.4%]

Rule 3:
    	attribute#1 = 1
    	attribute#3 = 1
    	attribute#4 = 1
	->  class 0  [94.4%]

Rule 8:
    	attribute#1 = 1
    	attribute#2 = 1
    	attribute#6 = 1
	->  class 0  [94.4%]

Rule 18:
    	attribute#2 = 1
    	attribute#3 = 1
    	attribute#4 = 1
	->  class 0  [94.4%]

Rule 24:
    	attribute#2 = 1
    	attribute#4 = 1
    	attribute#6 = 1
	->  class 0  [94.4%]

Rule 12:
    	attribute#1 = 1
    	attribute#5 = 1
    	attribute#6 = 1
	->  class 0  [92.6%]

Rule 9:
    	attribute#1 = 1
    	attribute#2 = 1
    	attribute#4 = 1
	->  class 0  [91.7%]

Rule 34:
    	attribute#1 = 2
    	attribute#3 = 2
    	attribute#4 = 2
    	attribute#6 = 2
	->  class 0  [79.4%]

Rule 35:
    	attribute#1 = 2
    	attribute#3 = 2
    	attribute#4 = 3
    	attribute#6 = 2
	->  class 0  [79.4%]

Rule 51:
    	attribute#1 = 3
    	attribute#3 = 2
    	attribute#4 = 2
    	attribute#6 = 2
	->  class 0  [79.4%]

Rule 52:
    	attribute#1 = 3
    	attribute#3 = 2
    	attribute#4 = 3
    	attribute#6 = 2
	->  class 0  [79.4%]

Rule 14:
    	attribute#2 = 2
    	attribute#3 = 2
    	attribute#6 = 2
	->  class 0  [74.1%]

Rule 16:
    	attribute#2 = 3
    	attribute#3 = 2
    	attribute#6 = 2
	->  class 0  [74.1%]

Rule 28:
    	attribute#1 = 2
    	attribute#2 = 2
    	attribute#3 = 2
    	attribute#4 = 2
	->  class 0  [70.0%]

Rule 29:
    	attribute#1 = 2
    	attribute#2 = 2
    	attribute#3 = 2
    	attribute#4 = 3
	->  class 0  [70.0%]

Rule 31:
    	attribute#1 = 2
    	attribute#2 = 3
    	attribute#3 = 2
    	attribute#4 = 2
	->  class 0  [70.0%]

Rule 32:
    	attribute#1 = 2
    	attribute#2 = 3
    	attribute#3 = 2
    	attribute#4 = 3
	->  class 0  [70.0%]

Rule 45:
    	attribute#1 = 3
    	attribute#2 = 2
    	attribute#3 = 2
    	attribute#4 = 2
	->  class 0  [70.0%]

Rule 46:
    	attribute#1 = 3
    	attribute#2 = 2
    	attribute#3 = 2
    	attribute#4 = 3
	->  class 0  [70.0%]

Rule 48:
    	attribute#1 = 3
    	attribute#2 = 3
    	attribute#3 = 2
    	attribute#4 = 2
	->  class 0  [70.0%]

Rule 49:
    	attribute#1 = 3
    	attribute#2 = 3
    	attribute#3 = 2
    	attribute#4 = 3
	->  class 0  [70.0%]

Default class: 1


Evaluation on training data (432 items):

Rule  Size  Error  Used  Wrong	          Advantage
----  ----  -----  ----  -----	          ---------
   1     3   3.8%    36      0 (0.0%)	    12 (12|0) 	0
  17     3   3.8%    24      0 (0.0%)	    12 (12|0) 	0
  21     3   5.0%    12      0 (0.0%)	    12 (12|0) 	0
   2     3   5.6%    12      0 (0.0%)	     8 (8|0) 	0
   3     3   5.6%     8      0 (0.0%)	     8 (8|0) 	0
   8     3   5.6%    12      0 (0.0%)	     6 (6|0) 	0
  18     3   5.6%     8      0 (0.0%)	     8 (8|0) 	0
  24     3   5.6%     8      0 (0.0%)	     8 (8|0) 	0
  12     3   7.4%     6      0 (0.0%)	     6 (6|0) 	0
   9     3   8.3%     4      0 (0.0%)	     4 (4|0) 	0
  34     4  20.6%    12      1 (8.3%)	     2 (3|1) 	0
  35     4  20.6%    12      1 (8.3%)	     2 (3|1) 	0
  51     4  20.6%    12      1 (8.3%)	     2 (3|1) 	0
  52     4  20.6%    12      1 (8.3%)	     2 (3|1) 	0
  14     3  25.9%    20      7 (35.0%)	     6 (13|7) 	0
  16     3  25.9%    20      7 (35.0%)	     6 (13|7) 	0
  28     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  29     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  31     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  32     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  45     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  46     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  48     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0
  49     4  30.0%     4      1 (25.0%)	     2 (3|1) 	0

Tested 432, errors 92 (21.3%)   <<


	  (a)  (b)	<-classified as
	 ---- ----
	  224   66	(a): class 0
	   26  116	(b): class 1