auto-mpg测试集归一.txt

chi2实验(序列)是基于概率统计的连续属性离散化方法

1    1	-0.0953846	0.2	-0.079646	0.213483	-0.510143	-1	-1            
2    1	-0.538462	1	1	1	0.378525	-1	-1                                
3    1	-0.538462	1	1	1	0.598219	-1	-1                                
4    1	-1	1	1	1	1	-1	-1                                              
5    1	-1	1	1	1	1	-1	-1                                              
6    1	-1	1	1	1	1	-1	-1                                              
7    1	-1	1	1	1	1	-1	-1                                              
8    1	-1	1	1	1	0.716972	-0.391304	-1                                
9    1	-1	1	1	1	0.716972	-0.391304	-1                                
10   1	-0.538462	1	1	1	0.716972	-0.391304	-1                          
11   1	-1	1	1	1	1	-0.391304	-1                                        
12   1	-0.538462	1	1	1	1	-0.391304	-1                                  
13   1	-0.538462	1	1	1	1	-0.269565	-1                                  
14   1	-1	1	1	1	1	-0.269565	-1                                        
15   1	-1	1	1	1	1	-0.269565	-1                                        
16   1	0.353846	-1	-0.079646	-0.280899	-0.510143	-0.147826	-1        
17   1	-0.0953846	0.2	-0.079646	0.213483	-0.109352	-0.147826	-1      
18   1	-0.538462	0.2	1	1	0.598219	-0.147826	-1                        
19   1	-0.538462	1	1	1	1	-0.147826	-1                                  
20   3	-0.538462	-1	-1	0.0337079	-0.510143	-0.0434783	-1            
21   3	-0.538462	0.2	-0.079646	0.213483	-0.0153389	-0.0434783	-1    
22   1	-0.538462	1	1	1	1	-0.0434783	-1                                
23   1	-1	1	1	1	1	-0.0434783	-1                                      
24   2	-0.0953846	-1	-0.221239	-0.370787	-0.653637	0.026087	-1      
25   2	-0.0953846	-1	-0.681416	-0.370787	-0.836714	0.0956522	-1      
26   3	-0.0953846	-1	-0.132743	0.0337079	-0.510143	0.0956522	-1      
27   1	-0.0953846	-1	-0.079646	0.0337079	-0.510143	0.0956522	-1      
28   1	-0.0953846	-1	-0.681416	-0.370787	-0.678377	0.0956522	-1      
29   1	-1	1	1	1	1	0.0956522	-1                                        
30   1	-1	1	1	1	1	0.0956522	-1                                        
31   1	-1	1	1	0.213483	1	0.0956522	-1                                
32   1	-1	1	1	0.213483	1	0.0956522	-1                                
33   1	-0.538462	0.2	1	0.0337079	0.0222662	0.286957	-1                
34   1	-0.538462	0.2	1	-0.280899	0.149926	0.286957	-1                
35   2	-1	0.2	-0.079646	0.213483	0.593271	0.286957	-1              
36   1	-0.0953846	-1	-0.079646	-0.280899	-0.0846116	0.286957	-1    
37   2	-0.0953846	-1	-0.840708	-0.573034	-1	0.286957	-1            
38   1	-0.0953846	-1	-0.079646	-0.280899	-0.0846116	0.391304	-1    
39   1	-0.0953846	-1	-0.079646	-0.280899	-0.510143	0.391304	-1      
40   1	-0.538462	0.2	1	0.0337079	0.448788	0.391304	-1                
41   1	-0.538462	0.2	1	0.0337079	0.0895596	0.391304	-1                
42   1	-0.0953846	-1	-0.513274	-0.280899	-0.678377	0.391304	-1      
43   2	0.353846	-1	-0.840708	-0.573034	-0.836714	0.391304	-1        
44   2	-0.0953846	-1	-0.681416	-0.438202	-0.653637	0.391304	-1      
45   1	-0.538462	0.2	1	0.213483	0.133102	0.391304	-1                
46   3	0.353846	-1	-0.823009	-0.573034	-1	0.391304	-1              
47   1	-0.538462	-1	-0.079646	-0.280899	-0.510143	0.391304	-1        
48   3	-0.0953846	-1	-0.681416	-0.370787	-0.539832	0.669565	-1      
49   1	-0.538462	0.2	1	0.0337079	0.378525	0.669565	-1                
50   1	-1	0.2	1	0.213483	0.462642	0.669565	-1                      
51   1	-0.538462	0.2	1	0.0337079	0.34092	0.669565	-1                  
52   2	-0.0953846	-1	-0.681416	-0.573034	-0.653637	0.669565	-1      
53   3	0.353846	-1	-0.513274	-0.573034	-0.836714	0.669565	-1        
54   1	-1	0.2	1	-0.41573	0.34092	1	-1                                
55   1	-0.538462	-1	-0.079646	-0.280899	-0.510143	1	-1                
56   1	-0.0953846	-1	-0.681416	-0.573034	-1	1	-1                    
57   2	-0.538462	-1	-0.132743	-0.280899	0.454725	1	-1                
58   3	0.353846	-1	-0.681416	-0.573034	-0.673429	0.669565	0.818182  
59   1	-0.0953846	-1	-0.079646	-0.280899	0.0588817	0.669565	0.818182
60   2	-0.0953846	-1	-0.681416	-1	-1	0.269565	0.818182            
61   1	0.353846	-1	-0.513274	-0.573034	-0.836714	0.286957	0.818182  
62   3	1	-1	-0.823009	-0.573034	-0.836714	0.669565	0.818182          
63   2	0.353846	-1	-0.079646	-0.280899	-0.510143	0.0956522	0.818182  
64   3	0.353846	-1	-0.079646	0.0337079	-0.510143	0.026087	1         
65   1	0.353846	-1	-0.345133	-0.280899	-0.510143	0.669565	1         
66   1	-0.538462	0.2	1	0.213483	0.598219	0.286957	1                 
67   3	0.353846	-1	-0.681416	-0.573034	-0.836714	0.669565	1         
68   2	0.353846	-1	-0.513274	-0.370787	-0.836714	0.269565	1         
69   1	0.353846	0.2	1	-0.280899	0.171697	0.391304	1                 
70   1	0.353846	-1	-0.132743	-0.280899	-0.0895596	0.669565	1       
71   1	-0.0953846	-1	-0.079646	-0.280899	0.13805	0.391304	1         
72   3	0.353846	-1	-0.681416	-0.573034	-0.836714	0.669565	1         
73   3	0.353846	-1	-0.345133	-0.370787	-0.510143	0.391304	1         
74   1	0.353846	-1	-0.079646	-0.280899	-0.510143	-0.147826	1         
75   1	0.353846	-1	-0.823009	-0.617978	-1	0.391304	1               
76   3	-0.0953846	0.2	-0.079646	0.213483	0.118258	-0.0434783	1     
77   3	-0.0953846	0.2	-0.079646	0.213483	0.08857	-0.269565	1         
78   1	0.353846	-1	-0.513274	-0.573034	-0.678377	0.391304	1         
79   1	-0.0953846	-1	-0.345133	-0.280899	-0.510143	1	1