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	0.0307692	0.213483	-0.382246	-1	-1
2 1	-1	1	1	1	1	-1	-1
3 1	-0.556923	1	1	1	0.740942	-0.391304	-1
4 1	-1	1	1	1	1	-0.391304	-1
5 1	-1	1	1	1	1	-0.391304	-1
6 1	-1	1	1	1	1	-0.391304	-1
7 2	-0.556923	-1	-0.184615	0.213483	-0.382246	-0.269565	-1
8 1	-1	1	1	1	1	-0.269565	-1
9 1	0.353846	-1	-0.546154	-0.573034	-0.513587	-0.147826	-1
10 1	-0.556923	1	1	1	1	-0.147826	-1
11 1	-1	1	1	1	1	-0.147826	-1
12 1	-1	1	1	1	1	-0.147826	-1
13 1	-1	1	1	1	1	-0.147826	-1
14 1	-1	1	1	1	1	-0.147826	-1
15 1	-0.556923	1	1	1	1	-0.147826	-1
16 1	-0.556923	1	1	0.213483	0.431159	-0.0434783	-1
17 1	-1	1	1	0.213483	1	-0.0434783	-1
18 1	-1	1	1	1	1	-0.0434783	-1
19 3	-0.0953846	-1	-0.4	0.0337079	-0.513587	0.0434783	-1
20 2	-0.0953846	-1	-0.4	-0.41573	-0.513587	0.0434783	-1
21 2	0.353846	-1	-1	-0.438202	-0.717391	0.0434783	-1
22 1	0.353846	-1	-0.546154	-0.573034	-0.513587	0.0956522	-1
23 3	-0.0953846	-1	-0.4	0.0337079	-0.382246	0.0956522	-1
24 1	-0.556923	0.2	1	0.213483	0.508152	0.0956522	-1
25 1	-1	1	1	1	1	0.0956522	-1
26 1	-1	1	1	1	1	0.0956522	-1
27 2	0.353846	-1	-1	-0.438202	-0.681159	0.0956522	-1
28 1	0.353846	-1	-0.546154	-0.258427	-0.762681	0.0956522	-1
29 1	-0.556923	0.2	1	0.0337079	0.00724638	0.286957	-1
30 2	-0.556923	-1	-0.184615	0.213483	0.0706522	0.286957	-1
31 2	-0.556923	-1	-0.184615	0.213483	0.0706522	0.286957	-1
32 2	-0.0953846	-1	-0.546154	-0.258427	-0.40942	0.286957	-1
33 1	-0.556923	0.2	1	0.213483	0.508152	0.286957	-1
34 1	-0.556923	1	1	0.213483	0.508152	0.286957	-1
35 1	-1	0.2	1	0.213483	0.632246	0.286957	-1
36 1	-1	1	1	1	1	0.286957	-1
37 2	-0.0953846	-1	-0.4	-0.41573	-0.513587	0.286957	-1
38 2	-0.0953846	-1	-0.4	-0.258427	-0.382246	0.286957	-1
39 1	-0.556923	0.2	1	0.213483	0.138587	0.391304	-1
40 2	-0.0953846	-1	-1	-0.438202	-0.513587	0.391304	-1
41 1	-1	1	1	1	1	0.391304	-1
42 1	-0.0953846	-1	0.0307692	-0.258427	0.00724638	0.391304	-1
43 3	-0.0953846	-1	-1	-0.258427	-0.681159	0.391304	-1
44 1	-0.556923	-1	0.0307692	-0.258427	0.138587	0.530435	-1
45 1	-0.556923	0.2	1	0.213483	0.632246	0.530435	-1
46 3	0.353846	-1	-1	-1	-1	0.652174	-1
47 2	-0.0953846	-1	-0.546154	0.0337079	-0.382246	0.652174	-1
48 3	0.353846	-1	-1	-0.573034	-0.681159	0.669565	-1
49 1	-0.556923	0.2	1	0.213483	0.740942	0.669565	-1
50 1	-0.556923	0.2	1	0.213483	0.740942	0.669565	-1
51 2	-0.0953846	-1	-1	-0.573034	-0.513587	0.669565	-1
52 1	-0.556923	1	1	0.213483	1	0.669565	-1
53 3	-0.556923	-1	-1	-0.258427	-0.40942	0.669565	-1
54 2	-0.556923	-1	-1	-1	-0.513587	1	-1
55 1	-0.0953846	-1	-0.546154	-1	-0.513587	1	-1
56 2	-0.556923	-1	-0.4	-0.258427	0.195652	1	-1
57 2	-0.0953846	-1	0.0307692	-0.325843	0.736413	1	-1
58 1	-0.0953846	-1	-1	-1	-0.681159	1	-1
59 2	-0.0953846	-1	-1	-0.573034	-0.681159	1	-1
60 2	-0.0953846	-1	0.0307692	-0.438202	0.383152	1	-1
61 2	-0.556923	-1	-0.4	-0.258427	0.500906	1	-1
62 3	0.353846	0.2	0.0307692	0.213483	0.138587	-0.408696	0.818182
63 3	-0.0953846	-1	0.0153846	-0.258427	-0.0353261	0.286957	0.818182
64 2	1	-1	-1	-1	-0.382246	1	0.818182
65 1	-0.0953846	-1	0.0307692	-0.258427	0.241848	1	0.818182
66 2	0.353846	-1	-0.184615	-0.573034	0.195652	1	0.818182
67 1	0.353846	-1	-0.546154	-0.617978	-0.536232	0.0956522	1
68 1	-0.0953846	0.2	0.0307692	0.213483	0.195652	0.391304	1
69 3	0.353846	-1	-0.4	0.213483	-0.382246	0.0956522	1
70 1	0.353846	-1	-0.4	-0.258427	-0.0353261	0.669565	1
71 1	0.353846	-1	-0.546154	-0.573034	-0.536232	0.530435	1
72 3	0.353846	-1	-1	-0.573034	-0.681159	0.0956522	1
73 1	-0.0953846	-1	-0.4	-0.258427	-0.382246	0.669565	1
74 1	-0.0953846	-1	-0.546154	-0.573034	-0.382246	1	1
75 3	0.353846	-1	-1	-1	-1	0.530435	1
76 1	0.353846	-1	0.0307692	-0.258427	-0.382246	-0.391304	1
77 1	-0.556923	0.2	0.0307692	0.213483	0.00724638	-0.269565	1
78 3	0.353846	-1	-0.4	-0.258427	-0.513587	0.0956522	1
79 1	0.353846	-1	-0.4	-0.258427	-0.382246	0.391304	1