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  2	-0.0953846	-1	-1	-0.438202	-0.807971	-1	-1
2  1	-0.556923	0.2	1	0.213483	-0.382246	-1	-1
3  2	-0.556923	-1	-0.184615	0.438202	-0.382246	-1	-1
4  1	-1	1	1	0.438202	0.241848	-1	-1
5  1	-1	1	1	1	0.241848	-1	-1
6  1	-0.556923	1	1	1	0.241848	-1	-1
7  1	-1	1	1	1	0.740942	-1	-1
8  1	-1	1	1	1	0.740942	-1	-1
9  1	-0.556923	1	1	1	0.740942	-1	-1
10 1	-1	1	1	1	0.740942	-1	-1
11 1	-1	1	1	1	1	-1	-1
12 1	-1	1	1	1	1	-1	-1
13 1	-1	1	1	1	1	-1	-1
14 1	-1	1	1	1	1	-1	-1
15 1	-1	1	1	1	1	-1	-1
16 1	-1	1	1	1	1	-1	-1
17 1	-1	1	1	1	1	-1	-1
18 1	-1	1	1	1	1	-1	-1
19 1	-1	1	1	1	1	-1	-1
20 1	-1	1	1	1	1	-1	-1
21 1	-1	1	1	1	1	-1	-1
22 1	-0.556923	1	1	1	1	-1	-1
23 3	-0.0953846	-1	-0.4	0.0337079	-0.45471	-0.0434783	-1
24 3	-0.0953846	-1	-0.4	0.0337079	-0.40942	-0.0434783	-1
25 1	-0.0953846	-1	0.0307692	-0.0561798	-0.382246	-0.0434783	-1
26 1	-0.0953846	-1	0.0307692	-0.0561798	-0.382246	-0.0434783	-1
27 3	-0.556923	0.2	0.123077	0.0337079	-0.382246	-0.0434783	-1
28 3	-0.556923	-1	-1	0.0337079	-0.382246	-0.0434783	-1
29 1	-0.0953846	-1	-0.184615	0.0337079	-0.382246	-0.0434783	-1
30 1	-0.556923	0.2	1	0.0337079	-0.382246	-0.0434783	-1
31 3	-0.0953846	-1	-0.4	0.0337079	-0.382246	-0.0434783	-1
32 3	-0.0953846	-1	-0.215385	0.0337079	-0.382246	-0.0434783	-1
33 1	-0.0953846	-1	0.0307692	0.0337079	-0.382246	-0.0434783	-1
34 1	-0.556923	0.2	1	0.213483	-0.382246	-0.0434783	-1
35 3	-0.556923	0.2	0.276923	0.393258	-0.382246	-0.0434783	-1
36 1	-0.556923	0.2	1	0.438202	0.195652	-0.0434783	-1
37 1	-0.556923	0.2	1	0.213483	0.241848	-0.0434783	-1
38 1	-0.556923	0.2	1	0.213483	0.241848	-0.0434783	-1
39 1	-0.556923	0.2	1	0.325843	0.241848	-0.0434783	-1
40 1	-0.556923	0.2	1	0.325843	0.241848	-0.0434783	-1
41 1	-0.556923	0.2	1	-0.0561798	0.241848	-0.0434783	-1
42 1	-0.556923	0.2	1	-0.0561798	0.241848	-0.0434783	-1
43 2	-0.556923	0.2	0.276923	0.438202	0.241848	-0.0434783	-1
44 1	-0.556923	0.2	1	0.438202	0.241848	-0.0434783	-1
45 1	0.353846	-1	-0.546154	-0.258427	-0.762681	-0.0434783	-1
46 2	0.353846	-1	-1	-0.438202	-0.717391	-0.0434783	-1
47 1	-1	1	1	0.438202	1	-0.0434783	-1
48 2	0.353846	-1	-1	-0.438202	-0.681159	-0.0434783	-1
49 2	-0.0953846	-1	-1	-0.370787	-0.617754	-0.0434783	-1
50 1	-1	1	1	1	1	-0.0434783	-1
51 1	-1	1	1	1	1	-0.0434783	-1
52 1	-1	1	1	1	1	-0.0434783	-1
53 3	-0.0953846	-1	-1	-0.0561798	-0.531703	-0.0434783	-1
54 1	-1	1	1	0.438202	1	-0.0434783	-1
55 1	-1	0.2	1	0.213483	0.241848	0.391304	-1
56 1	-0.556923	0.2	1	0.213483	0.241848	0.391304	-1
57 1	-0.0953846	-1	0.276923	-0.0561798	-0.382246	0.391304	-1
58 1	-0.556923	0.2	1	0.325843	0.241848	0.391304	-1
59 1	-0.556923	0.2	1	-0.0561798	0.241848	0.391304	-1
60 3	0.353846	-1	-1	-0.865169	-1	0.391304	-1
61 1	-0.556923	0.2	1	0.325843	0.740942	0.391304	-1
62 1	-0.556923	-1	-0.184615	-0.258427	-0.382246	0.391304	-1
63 1	-1	0.2	1	0.213483	0.740942	0.391304	-1
64 2	-0.556923	0.2	0.276923	0.438202	0.999094	0.391304	-1
65 3	-0.0953846	-1	-0.215385	0.0337079	-0.382246	0.391304	-1
66 1	-0.556923	0.2	1	0.213483	-0.382246	0.391304	-1
67 1	-0.556923	0.2	1	-0.258427	-0.382246	0.391304	-1
68 1	-0.556923	-1	0.0307692	-0.0561798	-0.382246	0.391304	-1
69 1	-0.0953846	0.2	1	-0.258427	0.241848	0.652174	-1
70 3	0.353846	-1	-1	-0.865169	-1	0.652174	-1
71 1	-0.556923	-1	-0.184615	-0.258427	-0.382246	0.652174	-1
72 3	0.353846	-1	-1	-0.573034	-0.717391	0.652174	-1
73 3	0.353846	-1	-1	-0.483146	-0.617754	0.652174	-1
74 1	-1	0.2	1	0.438202	0.740942	0.652174	-1
75 2	0.353846	-1	-1	-0.865169	-0.807971	0.652174	-1
76 1	-1	1	1	1	1	0.652174	-1
77 1	-0.556923	0.2	1	0.213483	0.740942	0.652174	-1
78 1	-0.556923	0.2	1	0.325843	0.740942	0.652174	-1
79 1	-0.556923	-1	0.0307692	-0.325843	-0.382246	0.652174	-1
80 2	-0.0953846	-1	-1	-1	-0.717391	1	-1
81 1	-0.556923	0.2	1	-0.325843	0.740942	1	-1
82 2	-0.556923	-1	-1	-0.865169	-0.45471	1	-1
83 1	-0.0953846	-1	-0.546154	-0.865169	-0.513587	1	-1
84 2	-0.0953846	-1	-1	-0.483146	-0.617754	1	-1
85 1	-0.0953846	-1	-1	-0.865169	-0.617754	1	-1
86 1	-0.556923	-1	0.0307692	-0.0561798	-0.382246	1	-1
87 3	0.353846	-1	-0.215385	0.0337079	-0.382246	-0.0434783	0.818182
88 2	1	-1	-0.546154	-0.325843	-0.531703	-0.0434783	0.818182
89 3	0.353846	-1	-0.215385	-0.370787	-0.382246	0.652174	0.818182
90 3	0.353846	-1	-0.4	-0.41573	-0.40942	0.391304	0.818182
91 2	1	-1	-1	-1	-0.382246	1	0.818182
92 2	-0.0953846	-1	-1	-0.865169	-0.807971	-0.0434783	0.818182
93 2	1	-1	-1	-1	-0.617754	1	0.818182
94 2	0.353846	-1	-1	-0.325843	-0.479167	-0.0434783	0.818182
95 3	0.353846	-1	-0.215385	-0.370787	-0.382246	0.652174	1
96 1	-0.0953846	-1	0.0307692	-0.258427	-0.382246	-0.0434783	1
97 1	0.353846	-1	-1	-0.617978	-0.762681	0.391304	1
98 1	0.353846	-1	0.0307692	-0.258427	-0.382246	-1	1
99 1	-0.556923	0.2	0.276923	0.438202	-0.382246	-1	1
100 1	0.353846	-1	-0.4	-0.0561798	-0.382246	0.652174	1
101 1	-0.556923	0.2	1	-0.258427	0.241848	0.391304	1
102 1	-0.0953846	1	1	0.325843	0.740942	0.652174	1
103 1	-0.0953846	-1	-0.4	-0.0561798	-0.382246	0.652174	1
104 3	0.353846	-1	-0.4	-0.370787	-0.463768	-0.0434783	1
105 1	-0.0953846	-1	0.276923	-0.0561798	-0.382246	0.652174	1
106 3	0.353846	-1	-1	-0.573034	-0.681159	-0.0434783	1
107 3	0.353846	-1	-0.4	-0.483146	-0.45471	0.391304	1
108 3	0.353846	-1	-0.4	-0.370787	-0.382246	0.391304	1
109 1	-0.0953846	-1	-0.546154	-0.573034	-0.382246	1	1
110 1	-0.0953846	-1	0.0307692	-0.258427	-0.382246	-0.0434783	1
111 3	0.353846	-1	-1	-0.865169	-1	0.391304	1
112 3	0.353846	-1	-1	-0.573034	-0.681159	0.391304	1
113 1	0.353846	-1	0.0307692	-0.258427	-0.382246	-1	1
114 1	-0.556923	0.2	1	0.438202	0.241848	-0.0434783	1
115 2	0.353846	-1	-0.546154	-0.370787	-0.479167	-0.0434783	1
116 1	-0.556923	0.2	1	0.438202	-0.382246	-0.0434783	1
117 1	-0.0953846	-1	0.0307692	-0.258427	-0.382246	-1	1
118 1	0.353846	0.2	1	-0.258427	0.241848	0.391304	1