Results

KDD Cup 2006: Pulmonary embolisms detection from image data

Winners of KDD Cup 2006: Task 1 - PE Identification

  • First Place: Robert Bell, Patrick Haffner, and Chris Volinsky (AT & T Research)
  • First Runner Up: Dmitriy Fradkin (Ask.com)
  • Second Runner Up: Domonkos Tikk (Budapest University of Technology & Economics), Zsolt T. Kardkovacs (Budapest University of Technology & Economics), Ferenc P. Szidarovszky (Szidarovszky Ltd. and Budapest University of Technology & Economics), Gyorgy Biro (TextMiner Ltd.), and Zoltan Balint (Budapest University of Technology & Economics)
  • Best Student Entry: Karthik Kumara (team leader), Sourangshu Bhattacharya, Mehul Parsana, Shivramkrishnan K, Rashmin Babaria, Saketha Nath J, and Chiranjib Bhattacharyya (Indian Institute of Science)

Winners of KDD Cup 2006: Task 2 - Patient Classification

  • First Place: Domonkos Tikk (Budapest University of Technology & Economics), Zsolt T. Kardkovacs (Budapest University of Technology & Economics), Ferenc P. Szidarovszky (Szidarovszky Ltd. and Budapest University of Technology & Economics), Gyorgy Biro (TextMiner Ltd.), and Zoltan Balint (Budapest University of Technology & Economics)
  • First Runner Up: Ruiping Wang, Yu Su, Ting Liu, Fei Yang, Liangguo Zhang, Dong Zhang, Shiguang Shan, Weiqiang Wang, Ruixiang Sun, and Wen Gao (Institute of Computing Technology, Chinese Academy of Sciences)
  • Second Runner Up: Cas Zhang, Y. Zhou, Q. Wang, and H. Ge (Joint R & D Lab, Chinese Academy of Sciences)
  • Third Runner Up: Dmitriy Fradkin (Ask.com)
  • Best Student Entry: Zhang Cas (IA, PKU)


Winners of KDD Cup 2006: Task 3 - Negative Predictive Value

  • First Place: William Perrizo and Amal Shehan Perera (DataSURG Group, North Dakota State University)
  • Runner Up: Nimisha Gupta and Tarun Agarwal (Strand Life Sciences Pvt. Ltd.)
  • Best Student Entry: Karthik Kumara (team leader), Sourangshu Bhattacharya, Mehul Parsana, Shivramkrishnan K, Rashmin Babaria, Saketha Nath J, and Chiranjib Bhattacharyya (Indian Institute of Science)

Final Results: Task 1 - PE Identification

 

Results are listed using the Download ID for privacy.

Download ID T1a Mean sensitivity T1b Mean sensitivity T1c Mean sensitivity Final score
ef76e0193ef8372113a26b9be97368d3 1.17 1.31 1.58 1.35
d0b226d5cb7acf1960c3c366bba827f6 1.00 1.25 1.58 1.28
2b33b8ba98ec223548eab4e64ae88dc4 0.93 1.36 1.51 1.27
8e3126f2523ecc6acbc87bff0e3d49c4 0.97 1.34 1.40 1.24
f0edf80fda6fbba3e06b24eb9b3df1fc 1.08 1.25 1.38 1.24
9b5ae2264450b107c5ee952ec5a72eeb 1.04 1.20 1.39 1.21
3ac232f02b893cb57a4487c4a5330ea4 0.90 1.24 1.43 1.19
4b27bd0bf34dc747b0211623c2eb65a6 0.75 1.15 1.55 1.15
2781ba05576561b182e2809ee9768ccb 0.84 1.12 1.47 1.14
c671036b3aafa55d0dde37175e7fca96 0.83 1.06 1.52 1.14
bf8f0121ad3f7f3b397310b9a576f81f 0.72 0.99 1.45 1.05
77617854db97705991f2e10fab7f09c2 0.90 1.02 1.21 1.04
4d79702fce261f0344b32c4a089f7882 0.99 0.88 1.20 1.02
92bbb197efdf5ea61ddf64bdf55e13a6 0.76 1.02 1.26 1.01
ec776e4d8991ab9a3772a2422481f27f 0.58 1.10 1.35 1.01
c6ac5e1d49084ec5e373b12bc38583c6 0.71 0.94 1.26 0.97
0d36b6b56a1d3605b3f7ee304faa9993 0.70 0.94 1.25 0.96
572de68bda39fccd166160a0d0e7e599 0.81 0.82 1.10 0.91
32074f9c7d8ac756ef5c77d4ae50d849 0.65 0.74 1.07 0.82
17364b8e5ccb947dd0bf56c9c2c90f5e 0.57 0.83 0.98 0.79
769fb06eceb15b7282dc9122b72add00 0.69 0.78 0.82 0.76
7481dec4886cc40f2bd34a1ae8d89d5f 0.61 0.60 0.71 0.64
c17cbd4bddbc415337fdc68752dd9436 0.48 0.48 0.48 0.48
f2d2a194dd9c97589d2b1c56d07db28f 0.37 0.41 0.56 0.45
ddb0fceec6f0e804b4ac5ed3fa65da4d 0.36 0.42 0.53 0.44
656708047c26984c5bc03e7450ebd90b 0.36 0.42 0.49 0.42
64e5a8252b98e4769a7b37ec946922cf 0.27 0.34 0.39 0.33
ddfbe24b943c4889ead6ca1d62011ff2 0.18 0.24 0.28 0.23
90edf490e4c28d1b3b38256fe617e3cd 0.00 0.12 0.56 0.23
65c983aba5d5c6b5e0bc765df792768e 0.18 0.21 0.28 0.22
05dd608fccd3b3597517c08e71ad5aee 0.18 0.22 0.23 0.21
81325a4d88994b5966af400b0f97a4eb 0.10 0.14 0.16 0.14
ddbfd582abf308ccbf1ee9c0501ebd13 0.08 0.11 0.12 0.10
c602ab8a2dd48089d1e371b6d83c613e 0.06 0.06 0.06 0.06
a3c34f54cf332e8b3e77b0f000aab967 0.03 0.03 0.03 0.03
da6f41f17af96a64ebc21ce87a4b0799 0.01 0.01 0.01 0.01
e55a770983977c02fd5113c244a5addc 0.00 0.00 0.00 0.00
e38fab690e3ff7a2f39198ca3eeb0b71 0.00 0.00 0.00 0.00
d62220e5b3f14aa9a3c723f0c94faa84 0.00 0.00 0.00 0.00
ffa56cf7cc759edb75dd225a9d75b8ef 0.00 0.00 0.00 0.00
67b82ccc8b29b330f180dcdf82f72fcd 0.00 0.00 0.00 0.00
9f0dd861b210f17dc03340243e708ddf 0.00 0.00 0.00 0.00
b4e3aa99276f8c677d4d7dea4dc1f6b5 0.00 0.00 0.00 0.00
7f10d1b1fdb510968190a701441fdee2 0.00 0.00 0.00  
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