bupa扩大级别-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	0.314286	0.37037	-0.76699	-0.357143	-1	-1
2 2	0.314286	1	-0.92233	-0.821429	-0.911765	-1
3 1	0.314286	0.37037	-0.786408	-1	-0.911765	-1
4 1	0.314286	0.37037	-0.669903	-0.571429	-0.911765	-1
5 2	-1	0.37037	-0.76699	-0.357143	-0.911765	-1
6 2	0.314286	-1	-0.92233	-0.714286	-0.764706	-1
7 2	0.314286	0.37037	-0.864078	-0.571429	-0.764706	-1
8 2	0.314286	0.37037	-1	-0.714286	-0.764706	-1
9 1	0.314286	0.37037	-0.00970874	-0.178571	-0.764706	-1
10 1	0.314286	1	-0.669903	-0.107143	-0.764706	-1
11 1	0.314286	-1	-1	-0.464286	-0.705882	-1
12 1	0.314286	1	-0.728155	-0.571429	-0.647059	-1
13 2	0.314286	-1	-0.805825	-0.464286	-0.647059	-1
14 2	0.314286	-1	-0.864078	-0.714286	-0.529412	-1
15 1	0.314286	1	-0.864078	-0.821429	-0.382353	-1
16 2	0.314286	1	-0.592233	-0.464286	-0.382353	-1
17 2	-1	-1	-0.786408	-0.607143	-0.382353	-1
18 2	0.314286	0.37037	-0.728155	-0.714286	-0.382353	-1
19 2	0.314286	0.814815	-0.669903	-0.607143	-0.382353	-1
20 2	0.314286	1	-0.728155	-0.392857	-0.382353	-1
21 1	-1	0.37037	-0.728155	-0.714286	-0.382353	-1
22 2	0.314286	0.37037	-0.728155	-0.357143	-0.382353	-1
23 1	-1	1	-0.378641	-0.357143	-0.382353	-1
24 1	-1	1	-0.378641	-0.178571	-0.382353	-1
25 1	0.314286	1	-0.592233	-0.714286	-0.382353	-1
26 2	-1	-1	-0.592233	-0.714286	0.411765	-1
27 1	0.314286	0.37037	-0.631068	-0.464286	0.5	-1
28 2	-1	-1	-0.592233	-0.357143	0.588235	-1
29 2	-1	0.814815	-0.475728	-0.607143	0.794118	-1
30 1	-1	1	-0.281553	-0.107143	1	-1
31 1	0.314286	1	-0.592233	-0.571429	1	-1
32 2	0.314286	0.37037	-0.864078	-0.821429	1	-1
33 2	0.314286	-1	-1	-0.714286	-0.911765	-0.466667
34 2	-1	-1	-0.92233	-0.607143	-0.911765	-0.466667
35 1	0.314286	-1	-0.728155	-0.571429	-0.382353	-0.466667
36 2	0.314286	0.814815	-0.864078	-0.821429	-0.529412	-0.466667
37 2	0.314286	-1	-0.281553	0	-0.382353	-0.466667
38 1	0.314286	1	-0.592233	-0.821429	-0.647059	-0.466667
39 2	-1	1	-0.281553	0	1	-0.466667
40 2	0.314286	-1	1	0.25	1	-0.466667
41 2	0.314286	1	-0.786408	-0.357143	0.117647	-0.2
42 1	0.314286	0.37037	-0.728155	-0.357143	-0.705882	-0.2
43 2	0.314286	-1	-0.864078	-0.392857	-0.647059	-0.2
44 1	0.314286	0.37037	-0.805825	-0.464286	-0.558824	-0.2
45 1	0.314286	1	-0.592233	-0.357143	-0.382353	-0.2
46 2	-1	1	-0.92233	-0.571429	-0.382353	-0.2
47 1	0.314286	0.37037	-0.92233	-0.821429	-0.764706	-0.2
48 2	0.314286	-1	-0.592233	-0.464286	0.794118	-0.2
49 2	0.314286	-1	-0.631068	-0.464286	-0.382353	-0.2
50 2	0.314286	1	-0.126214	-0.392857	0.117647	-0.2
51 1	0.314286	0.37037	0.805825	0.75	1	-0.2
52 1	0.314286	0.37037	-0.728155	-0.714286	-0.647059	-0.2
53 2	1	1	-0.592233	1	1	-0.2
54 2	0.314286	1	-0.126214	-0.107143	1	0.0666667
55 1	0.314286	-1	-0.378641	-0.464286	1	0.0666667
56 1	0.314286	0.37037	-0.378641	-0.285714	-0.382353	0.0666667
57 2	0.314286	-1	-0.728155	-0.571429	0.411765	0.0666667
58 1	-1	1	-0.592233	-0.607143	-0.382353	0.0666667
59 1	0.314286	-1	-0.592233	-0.464286	-0.911765	0.0666667
60 2	0.314286	1	0.417476	0.392857	1	0.0666667
61 1	0.314286	1	-0.864078	-0.714286	-1	0.0666667
62 2	0.314286	0.37037	-0.728155	-0.392857	0.794118	0.0666667
63 2	1	1	-0.728155	-0.464286	-0.382353	0.0666667
64 2	0.314286	1	-0.592233	-0.107143	-0.382353	0.333333
65 2	-1	1	-0.92233	-0.464286	-0.911765	0.333333
66 2	-1	-1	-0.184466	0.25	0.411765	0.333333
67 1	0.314286	0.37037	-0.669903	-0.357143	-0.764706	1
68 1	0.314286	1	0.300971	-0.107143	1	1
69 1	0.314286	1	-0.126214	0.25	0.735294	1