Microblogging and Advertisting Data Mining Challenge

Completed • $8,000 • 163 teams

KDD Cup 2012, Track 2

Mon 20 Feb 2012
– Fri 1 Jun 2012 (2 years ago)

Private Leaderboard - KDD Cup 2012, Track 2

This competition has completed. This leaderboard reflects the final standings.
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# Δrank Team Name
* in the money
Score Score Help Entries Last Submission UTC (Best − Last Submission)
1 0.80893 141 Fri, 01 Jun 2012 23:57:26 (-0.1h)
2 0.80824 90 Fri, 01 Jun 2012 23:59:54 (-0.2h)
3 ↑1 0.80303 25 Fri, 01 Jun 2012 23:53:17 (-0.1h)
4 ↑2 0.80178 50 Fri, 01 Jun 2012 22:48:52
5 0.80166 200 Fri, 01 Jun 2012 23:37:41 (-0.4h)
6 ↑1 0.79995 81 Fri, 01 Jun 2012 23:45:02 (-14.2h)
7 ↓4 0.79892 84 Fri, 01 Jun 2012 19:56:49 (-6.3h)
8 0.79739 83 Wed, 30 May 2012 15:49:56 (-0.4h)
9 0.79480 11 Sat, 26 May 2012 08:40:19
10 ↑2 0.79375 99 Fri, 01 Jun 2012 10:58:02 (-21.3h)
11 ↓1 0.79358 12 Wed, 09 May 2012 16:11:58 (-2.2d)
12 ↓1 0.79156 196 Fri, 01 Jun 2012 18:21:04 (-37.1h)
13 ↑4 0.79151 71 Fri, 01 Jun 2012 14:24:51
14 ↓1 0.79074 57 Fri, 01 Jun 2012 16:30:04 (-2d)
15 0.79043 40 Fri, 01 Jun 2012 06:11:14 (-12.5h)
16 ↓2 0.79020 87 Fri, 01 Jun 2012 23:14:16 (-44.5h)
17 ↑4 0.79012 209 Fri, 01 Jun 2012 10:47:41 (-0.3h)
18 0.78998 12 Thu, 31 May 2012 12:22:55
19 0.78910 109 Fri, 01 Jun 2012 11:35:34 (-47.7h)
20 ↓4 0.78846 69 Fri, 01 Jun 2012 19:53:49 (-37.5h)
21 ↑3 0.78791 9 Thu, 31 May 2012 11:42:49
22 ↓2 0.78676 23 Fri, 01 Jun 2012 23:36:16 (-2h)
23 0.78295 62 Fri, 01 Jun 2012 18:31:25 (-1.1h)
24 ↑3 0.78262 9 Fri, 01 Jun 2012 15:41:11 (-2.7d)
25 ↓3 0.78234 25 Fri, 01 Jun 2012 18:11:30 (-3.3d)
26 0.78077 78 Fri, 01 Jun 2012 22:50:27 (-1h)
27 ↓2 0.78068 134 Fri, 01 Jun 2012 23:24:41 (-22.9h)
28 0.78056 99 Fri, 01 Jun 2012 11:43:10 (-2.4d)
29 0.77962 94 Fri, 01 Jun 2012 06:18:57 (-10.7h)
30 0.77866 115 Fri, 01 Jun 2012 20:55:34 (-18.9d)
31 0.77864 6 Fri, 01 Jun 2012 09:22:48 (-0.7h)
32 0.77847 56 Fri, 01 Jun 2012 23:02:46
33 0.77821 87 Fri, 01 Jun 2012 20:19:21 (-4.8d)
34 0.77482 35 Fri, 01 Jun 2012 18:47:58 (-11.7d)
35 ↑2 0.77457 76 Fri, 01 Jun 2012 14:19:50 (-6d)
36 ↓1 0.77240 44 Fri, 01 Jun 2012 20:18:10 (-14.8h)
37 ↓1 0.77158 44 Fri, 01 Jun 2012 23:42:41 (-1.2h)
38 ↑5 0.76978 15 Fri, 01 Jun 2012 20:07:05 (-6.4d)
39 ↑8 0.76733 15 Thu, 17 May 2012 01:25:01 (-11.9d)
40 ↑6 0.76724 14 Thu, 31 May 2012 20:18:52 (-2.2d)
41 ↓2 0.76695 74 Sat, 19 May 2012 06:42:21 (-10.2d)
42 ↓2 0.76681 27 Tue, 22 May 2012 21:11:03 (-7d)
43 ↓2 0.76600 13 Fri, 25 May 2012 08:33:30 (-18.2d)
44 ↓6 0.76526 125 Fri, 01 Jun 2012 23:33:49 (-28.8h)
45 ↓3 0.76490 72 Wed, 30 May 2012 03:38:31 (-7.3d)
46 ↓1 0.76273 151 Fri, 01 Jun 2012 23:04:25 (-38.4h)
47 ↓3 0.76272 40 Fri, 01 Jun 2012 23:42:36 (-1.8h)
48 0.76077 57 Fri, 01 Jun 2012 19:05:01 (-3.2h)
49 0.76034 56 Tue, 15 May 2012 09:20:16 (-0.5h)
50 ↑1 0.75647 32 Thu, 31 May 2012 19:32:41 (-2.9d)
51 ↓1 0.75393 24 Fri, 01 Jun 2012 23:35:17
52 ↑2 0.75358 17 Thu, 31 May 2012 03:24:40 (-1.7h)
53 ↑7 0.75341 13 Fri, 01 Jun 2012 06:38:46
54 ↓2 0.75304 12 Fri, 01 Jun 2012 06:32:44 (-16.2d)
55 ↑2 0.75259 3 Fri, 01 Jun 2012 03:06:55
56 ↓1 0.75224 38 Fri, 01 Jun 2012 09:15:34 (-6.9h)
57 ↓4 0.75156 8 Fri, 01 Jun 2012 13:20:13 (-13h)
58 ↑21 0.75088 34 Mon, 21 May 2012 13:31:24 (-5d)
59 ↑12 0.75032 20 Fri, 01 Jun 2012 11:10:55 (-2h)
60 ↓1 0.75020 116 Fri, 01 Jun 2012 14:44:20 (-3.1d)
61 ↓3 0.74999 120 Thu, 31 May 2012 16:02:48
62 ↑7 0.74969 14 Tue, 01 May 2012 06:31:56 (-0.1h)
63 ↑10 0.74886 35 Fri, 11 May 2012 03:35:58 (-10.9d)
64 ↑4 0.74885 55 Fri, 18 May 2012 21:43:56 (-2d)
65 ↑11 0.74883 13 Thu, 31 May 2012 21:18:50 (-4.3h)
66 ↓10 0.74882 13 Fri, 01 Jun 2012 01:26:32
67 ↓5 0.74781 54 Thu, 31 May 2012 23:08:41 (-9.1d)
68 ↓7 0.74760 111 Thu, 31 May 2012 12:18:42 (-31.2d)
69 ↑8 0.74752 15 Fri, 01 Jun 2012 18:39:10 (-9.3h)
70 ↓7 0.74741 10 Fri, 01 Jun 2012 19:57:49
71 ↓1 0.74725 10 Wed, 30 May 2012 13:43:35 (-3.3d)
72 ↑9 0.74723 33 Fri, 01 Jun 2012 15:06:07 (-2.6d)
73 ↓8 0.74717 1 Fri, 01 Jun 2012 22:36:57
74 ↓10 0.74715 16 Fri, 01 Jun 2012 20:30:24
75 ↓8 0.74667 8 Fri, 01 Jun 2012 19:31:12 (-1.3h)
76 ↓10 0.74585 12 Fri, 01 Jun 2012 03:23:43 (-10.2d)
77 ↓2 0.74581 20 Sun, 27 May 2012 14:54:33 (-40.9d)
78 ↑2 0.74573 67 Thu, 24 May 2012 06:52:39 (-7.8h)
79 ↓5 0.74496 14 Tue, 29 May 2012 12:43:19 (-4.7d)
80 ↑2 0.74479 26 Tue, 29 May 2012 00:10:09 (-2.8d)
81 ↓3 0.74472 4 Wed, 02 May 2012 08:41:45
82 ↓10 0.74368 23 Thu, 26 Apr 2012 05:59:15 (-36.1h)
83 ↑1 0.74264 52 Tue, 15 May 2012 12:03:51 (-2h)
84 ↑4 0.74124 1 Wed, 18 Apr 2012 16:03:16
85 ↑5 0.74098 9 Tue, 22 May 2012 13:23:46 (-25.8d)
86 ↓3 0.73833 29 Fri, 01 Jun 2012 23:29:09 (-13.3d)
87 ↓2 0.73831 22 Fri, 01 Jun 2012 23:29:10 (-2.3d)
88 ↓1 0.73809 2 Mon, 30 Apr 2012 20:37:39 (-0.4h)
89 ↓3 0.73784 35 Fri, 01 Jun 2012 14:31:31 (-26.6h)
90 ↓1 0.73724 15 Tue, 01 May 2012 15:45:02 (-18.4d)
91 0.73567 2 Fri, 20 Apr 2012 04:14:28
92 0.73460 24 Wed, 25 Apr 2012 21:17:26 (-0.5h)
93 0.73451 2 Fri, 27 Apr 2012 09:19:00
94 ↑2 0.73248 5 Sun, 27 May 2012 17:21:04 (-5.4d)
95 ↑4 0.73165 7 Thu, 17 May 2012 08:21:57 (-8.2d)
96 ↓2 0.73061 11 Fri, 01 Jun 2012 21:57:00 (-3.8h)
97 ↑6 0.73046 3 Thu, 31 May 2012 11:38:30
98 ↓3 0.73045 21 Fri, 01 Jun 2012 22:33:36 (-4.1h)
99 ↑12 0.72845 3 Thu, 17 May 2012 04:41:49 (-23.5d)
100 ↓3 0.72844 3 Tue, 15 May 2012 15:01:59
101 ↓1 0.72767 8 Mon, 23 Apr 2012 09:32:53 (-14.2h)
102 ↓1 0.72726 16 Sun, 27 May 2012 10:23:57 (-3.9d)
103 ↓5 0.72690 14 Fri, 18 May 2012 08:35:35 (-10.9d)
104 ↑2 0.72652 21 Wed, 30 May 2012 01:58:28
105 ↓3 0.72487 10 Fri, 01 Jun 2012 23:54:03 (-0.7h)
106 ↓1 0.72484 11 Tue, 22 May 2012 13:16:02 (-2.6h)
107 ↓3 0.72480 9 Sun, 20 May 2012 10:36:24
108 ↑4 0.72447 1 Fri, 01 Jun 2012 12:49:47
109 ↓1 0.72411 47 Wed, 30 May 2012 11:52:05 (-28.9d)
110 ↑3 0.72407 1 Fri, 01 Jun 2012 15:40:06
111 ↓4 0.72338 23 Sun, 06 May 2012 02:27:22 (-11.6d)
112 ↑4 0.72245 10 Mon, 14 May 2012 11:35:46 (-5.9d)
113 ↓4 0.71994 45 Thu, 24 May 2012 17:47:11 (-19.9d)
114 ↑1 0.71908 2 Wed, 30 May 2012 16:40:52
115 ↑2 0.71902 37 Fri, 01 Jun 2012 21:57:32
116 ↓2 0.71793 6 Mon, 23 Apr 2012 14:31:14
117 ↓7 0.71775 9 Thu, 17 May 2012 18:22:03 (-6.6d)
118 ↑3 0.71709 13 Sun, 27 May 2012 16:27:23 (-7.2d)
119 ↓1 0.71635 33 Thu, 31 May 2012 12:55:10 (-13.8h)
120 ↓1 0.71614 38 Fri, 01 Jun 2012 11:07:44 (-27.8h)
121 ↑17 0.71461 7 Thu, 26 Apr 2012 05:49:57
122 ↓2 0.71448 17 Fri, 04 May 2012 11:15:31 (-8.2d)
123 ↑11 0.71371 8 Tue, 15 May 2012 04:05:50 (-27.3h)
124 ↓1 0.71352 4 Wed, 02 May 2012 00:32:02
125 ↓3 0.71275 7 Fri, 27 Apr 2012 05:30:16 (-5.8d)
126 ↑11 0.71221 2 Fri, 20 Apr 2012 13:17:40
127 ↓2 0.71198 3 Wed, 18 Apr 2012 03:06:54 (-14.8h)
128 ↓2 0.71198 17 Wed, 30 May 2012 16:40:42 (-10.5d)
129 ↓5 0.71198 9 Thu, 26 Apr 2012 15:25:57 (-16.5h)
130 ↓3 0.71198 46 Thu, 03 May 2012 14:51:11 (-9.8d)
Ad Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the ad id in the training set. If the ad id was not present in the training set, then it predicts the mean CTR of the training set.
0.71198
131 ↓3 0.71198 1 Thu, 26 Apr 2012 21:30:31
132 ↓3 0.71198 1 Sat, 28 Apr 2012 08:37:47
133 ↓3 0.71198 3 Tue, 29 May 2012 08:49:46 (-20.6d)
134 ↓3 0.71198 1 Mon, 14 May 2012 09:43:42
135 ↓3 0.71198 4 Thu, 17 May 2012 14:04:50 (-0.3h)
136 ↓3 0.71197 16 Tue, 29 May 2012 08:55:55 (-43.3h)
137 ↓2 0.71052 8 Fri, 18 May 2012 03:44:55 (-14.2h)
138 ↑2 0.70885 5 Thu, 31 May 2012 02:03:39 (-6.8h)
139 ↓3 0.70881 1 Mon, 07 May 2012 17:16:07
140 ↑3 0.70799 1 Fri, 13 Apr 2012 12:14:13
141 0.70628 1 Sat, 14 Apr 2012 20:02:58
Keyword Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the keyword id in the training set. If the keyword id was not present in the training set, then it predicts the mean CTR of the training set.
0.70558
142 ↓3 0.70553 10 Thu, 31 May 2012 11:51:19 (-3.8h)
143 ↑1 0.70492 16 Thu, 31 May 2012 07:58:45 (-2.1d)
144 ↑2 0.70259 17 Fri, 01 Jun 2012 20:58:41 (-3.1d)
145 ↓3 0.70076 3 Wed, 30 May 2012 13:55:54 (-22h)
146 ↓1 0.70002 14 Mon, 30 Apr 2012 18:22:02 (-8.9d)
Title Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the title id in the training set. If the title id was not present in the training set, then it predicts the mean CTR of the training set.
0.69867
Description Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the description id in the training set. If the description id was not present in the training set, then it predicts the mean CTR of the training set.
0.69508
Query Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the query id in the training set. If the query id was not present in the training set, then it predicts the mean CTR of the training set.
0.69219
147 0.68883 17 Wed, 25 Apr 2012 01:03:59 (-39.7h)
148 ↑2 0.68699 6 Fri, 01 Jun 2012 22:25:18 (-36.1d)
149 ↓1 0.68342 5 Fri, 01 Jun 2012 23:48:28
150 ↓1 0.68161 7 Tue, 08 May 2012 13:41:01 (-3.7h)
151 0.68045 10 Mon, 21 May 2012 08:12:13
Advertiser Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the advertiser id in the training set. If the advertiser id was not present in the training set, then it predicts the mean CTR of the training set.
0.66569
152 0.64737 10 Wed, 09 May 2012 06:31:01 (-14.7h)
153 0.61377 1 Fri, 01 Jun 2012 23:49:26
User Id Benchmark
This benchmark was created with basic_id_benchmark.py. It predicts the CTR of the given sample based on the CTR of the user id in the training set. If the user id was not present in the training set, then it predicts the mean CTR of the training set.
0.59265
154 0.55729 9 Fri, 01 Jun 2012 21:04:22 (-0.4h)
155 0.51921 1 Sun, 29 Apr 2012 19:33:47
156 0.51449 2 Tue, 15 May 2012 09:12:11
157 0.50948 5 Fri, 01 Jun 2012 04:06:47 (-15.2h)
158 ↑1 0.50427 1 Sun, 27 May 2012 17:00:02
159 ↓1 0.50242 1 Tue, 29 May 2012 07:04:26
160 0.50202 1 Sun, 06 May 2012 20:00:32
161 0.50008 1 Fri, 01 Jun 2012 10:03:42
162 0.50003 4 Fri, 01 Jun 2012 03:54:56
Mean Benchmark
This benchmark predicts the mean CTR from the training set for each test entry. Since only the ordering of the predictions matters, and this does not establish an ordering over the test samples, it receives a score of 0.5.
0.50000
163 0.50000 1 Fri, 11 May 2012 10:27:10