CCPP/CCPP实验结果/factor/ItalyPowerDemand/0_08/information1.txt
Qihang Zhang 754b173fcc 🔧 chore(gitignore): 提交实验结果
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2025-04-20 22:18:46 +08:00

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0 0.1178 0.1178 0 0 0 0 0 WrongSample
1 1.0000 0.9993 0 0 1100 0.0295 22 Fail
2 1.0000 0.9928 0 0 1100 0.0162 22 Fail
3 1.0000 0.3960 0 1 550 0.0156 11 Success
4 1.0000 0.3280 0 1 350 0.0180 7 Success
5 1.0000 0.9997 0 0 1100 0.0210 22 Fail
6 1.0000 0.4682 0 1 850 0.0204 17 Success
7 1.0000 0.9999 0 0 1100 0.0269 22 Fail
8 1.0000 0.5551 0 0 2500 0.0224 50 Fail
9 1.0000 0.3444 0 1 500 0.0237 10 Success
10 1.0000 0.2297 0 1 650 0.0226 13 Success
11 1.0000 1.0000 0 0 1100 0.0182 22 Fail
12 0.9999 0.2577 0 1 100 0.0085 2 Success
13 1.0000 0.2636 0 1 550 0.0253 11 Success
14 1.0000 0.3187 0 1 750 0.0281 15 Success
15 0.9924 0.0849 0 1 100 0.0097 2 Success
16 1.0000 0.7077 0 0 2500 0.0314 50 Fail
17 1.0000 0.1943 0 1 450 0.0242 9 Success
18 1.0000 0.8533 0 0 2500 0.0251 50 Fail
19 1.0000 0.1672 0 1 300 0.0140 6 Success
20 1.0000 0.3554 0 1 400 0.0144 8 Success
21 1.0000 0.9905 0 0 1100 0.0291 22 Fail
22 0.6095 0.0299 0 1 100 0.0087 2 Success
23 0.9997 0.0024 0 1 100 0.0107 2 Success
24 1.0000 0.1975 0 1 350 0.0135 7 Success
25 1.0000 0.3189 0 1 250 0.0090 5 Success
26 1.0000 0.9893 0 0 1100 0.0314 22 Fail
27 1.0000 0.9980 0 0 1100 0.0231 22 Fail
28 1.0000 0.3459 0 1 1300 0.0233 26 Success
29 1.0000 0.1990 0 1 200 0.0165 4 Success
30 1.0000 0.9986 0 0 1100 0.0241 22 Fail
31 0.9992 0.2633 0 1 100 0.0107 2 Success
32 1.0000 0.1432 0 1 300 0.0159 6 Success
33 1.0000 1.0000 0 0 1100 0.0230 22 Fail
34 1.0000 0.3428 0 1 900 0.0281 18 Success
35 1.0000 0.9805 0 0 1100 0.0220 22 Fail
36 1.0000 0.1339 0 1 500 0.0222 10 Success
37 1.0000 1.0000 0 0 1100 0.0208 22 Fail
38 1.0000 0.0539 0 1 450 0.0231 9 Success
39 1.0000 0.9979 0 0 1100 0.0261 22 Fail
40 1.0000 0.9801 0 0 1100 0.0215 22 Fail
41 1.0000 0.9999 0 0 1100 0.0235 22 Fail
42 1.0000 0.9987 0 0 1100 0.0190 22 Fail
43 1.0000 0.9928 0 0 1100 0.0212 22 Fail
44 0.9989 0.3032 0 1 200 0.0102 4 Success
45 1.0000 0.3003 0 1 200 0.0087 4 Success
46 1.0000 0.7636 0 0 2500 0.0222 50 Fail
47 1.0000 0.7668 0 0 2500 0.0299 50 Fail
48 0.9998 0.1997 0 1 300 0.0150 6 Success
49 1.0000 0.9632 0 0 1100 0.0231 22 Fail
50 1.0000 0.9985 0 0 1100 0.0275 22 Fail
51 0.9999 0.1710 0 1 150 0.0082 3 Success
52 1.0000 0.8385 0 0 2500 0.0165 50 Fail
53 1.0000 0.1412 0 1 450 0.0181 9 Success
54 1.0000 0.2431 0 1 350 0.0157 7 Success
55 1.0000 0.8179 0 0 2500 0.0184 50 Fail
56 0.0021 0.0021 0 0 0 0 0 WrongSample
57 1.0000 0.9950 0 0 1100 0.0260 22 Fail
58 0.0000 0.0000 0 0 0 0 0 WrongSample
59 1.0000 0.9967 0 0 1100 0.0235 22 Fail
60 1.0000 0.9974 0 0 1100 0.0222 22 Fail
61 1.0000 0.6237 0 0 2500 0.0288 50 Fail
62 0.0000 0.0000 0 0 0 0 0 WrongSample
63 1.0000 0.1504 0 1 150 0.0091 3 Success
64 0.9999 0.4670 1 0 650 0.0200 13 Success
65 1.0000 0.9999 1 1 1100 0.0291 22 Fail
66 1.0000 0.9998 1 1 1100 0.0228 22 Fail
67 1.0000 0.4442 1 0 550 0.0205 11 Success
68 1.0000 0.6723 1 1 2500 0.0260 50 Fail
69 1.0000 0.9963 1 1 1100 0.0273 22 Fail
70 1.0000 0.9985 1 1 1100 0.0265 22 Fail
71 1.0000 0.3113 1 0 700 0.0259 14 Success
72 0.9981 0.2739 1 0 300 0.0171 6 Success
73 1.0000 0.2454 1 0 600 0.0303 12 Success
74 1.0000 0.7418 1 1 2500 0.0338 50 Fail
75 1.0000 0.5349 1 1 2500 0.0342 50 Fail
76 1.0000 0.9859 1 1 1100 0.0268 22 Fail
77 1.0000 1.0000 1 1 1100 0.0096 22 Fail
78 1.0000 0.2619 1 0 500 0.0315 10 Success
79 0.0000 0.0000 0 0 0 0 0 WrongSample
80 1.0000 0.5346 1 1 2500 0.0336 50 Fail
81 1.0000 0.5974 1 1 2500 0.0331 50 Fail
82 1.0000 0.9615 1 1 1100 0.0252 22 Fail
83 1.0000 0.2291 1 0 350 0.0196 7 Success
84 1.0000 0.1016 1 0 250 0.0142 5 Success
85 1.0000 0.3646 1 0 600 0.0263 12 Success
86 1.0000 0.9998 1 1 1100 0.0234 22 Fail
87 1.0000 0.9997 1 1 1100 0.0269 22 Fail
88 1.0000 0.9259 1 1 1100 0.0328 22 Fail
89 0.9976 0.0277 1 0 100 0.0101 2 Success
90 0.8130 0.0003 1 0 100 0.0185 2 Success
91 1.0000 1.0000 1 1 1100 0.0059 22 Fail
92 1.0000 0.9941 1 1 1100 0.0312 22 Fail
93 1.0000 0.9999 1 1 1100 0.0286 22 Fail
94 1.0000 0.0892 1 0 350 0.0202 7 Success
95 1.0000 0.3555 1 0 950 0.0327 19 Success
96 1.0000 0.5093 1 1 2500 0.0282 50 Fail
97 1.0000 0.4062 1 0 1150 0.0356 23 Success
98 1.0000 0.4466 1 0 2100 0.0286 42 Success
99 1.0000 0.1614 1 0 100 0.0081 2 Success
100 1.0000 0.9609 1 1 1100 0.0286 22 Fail
101 1.0000 0.9665 1 1 1100 0.0208 22 Fail
102 1.0000 1.0000 1 1 1100 0.0105 22 Fail
103 1.0000 0.3749 1 0 600 0.0261 12 Success
104 1.0000 0.2994 1 0 500 0.0191 10 Success
105 1.0000 0.3138 1 0 550 0.0242 11 Success
106 1.0000 0.8369 1 1 2500 0.0364 50 Fail
107 1.0000 0.4894 1 0 1100 0.0303 22 Success
108 0.9996 0.2787 1 0 200 0.0141 4 Success
109 1.0000 0.2357 1 0 700 0.0279 14 Success
110 1.0000 0.2088 1 0 450 0.0183 9 Success
111 1.0000 0.2862 1 0 350 0.0150 7 Success
112 1.0000 0.9997 1 1 1100 0.0287 22 Fail
113 1.0000 1.0000 1 1 1100 0.0236 22 Fail
114 1.0000 1.0000 1 1 1100 0.0255 22 Fail
115 1.0000 0.2031 1 0 450 0.0199 9 Success
116 1.0000 0.7905 1 1 2500 0.0210 50 Fail
117 0.9999 0.1052 1 0 250 0.0155 5 Success
118 0.0002 0.0002 0 0 0 0 0 WrongSample
119 1.0000 1.0000 1 1 1100 0.0195 22 Fail
120 1.0000 0.6055 1 1 2500 0.0212 50 Fail
121 0.9965 0.0024 1 0 100 0.0085 2 Success
122 1.0000 0.9982 1 1 1100 0.0311 22 Fail
123 1.0000 0.9987 1 1 1100 0.0231 22 Fail
124 0.9993 0.0893 1 0 300 0.0136 6 Success
125 1.0000 0.9990 1 1 1100 0.0211 22 Fail
126 1.0000 0.9980 1 1 1100 0.0300 22 Fail
127 1.0000 0.0611 1 0 100 0.0118 2 Success
Running time:1109.9807
Correctly-classified samples: 122Successful samples:59
Success rate48.36%Misclassification rate46.09%
ANI:9.12
MSE:0.0186
Mean queries455.93