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Runs - Web 2012

2012bpacad4

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: 2012bpacad4
  • Participant: BudapestAcad
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 8242e80eee46c8c6c8cb6b3ad6306016
  • Run description: Search run on a distributed architecture using Hadoop and Voldemort. The spammiest 4% of the documents have been removed.

2012bpacad4h

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: 2012bpacad4h
  • Participant: BudapestAcad
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 374e09a12236410370b9d5a608a69363
  • Run description: Search run on a distributed architecture using Hadoop and Voldemort. The spammiest 4% of the documents have been removed. Host rank has been incorporated into the score.

2012bpacad8

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: 2012bpacad8
  • Participant: BudapestAcad
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 93248d459f73fb71ac381a168adafbf1
  • Run description: Search run on a distributed architecture using Hadoop and Voldemort. The spammiest 8% of the documents have been removed.

autoSTA

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: autoSTA
  • Participant: udel
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 4363b57f0d9eeeaf199d4961e42e66a7
  • Run description: Automatic Subtopics (Subtopics were from wikipedia using the search API, Bing and Yahoo Related Queries API) + a novel diversification function

autoSTB

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: autoSTB
  • Participant: udel
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: d55aa1fa86e6a7258d0909b0875f27d7
  • Run description: Automatic Subtopics (Subtopics were from wikipedia using the search API, Bing and Yahoo Related Queries API) + a novel diversification function on CatB

combMNZCatB

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: combMNZCatB
  • Participant: udel
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 628dbe29d8824ac8a94c42f9ac6b4fd2
  • Run description: Query Expansion (Subtopics were from wikipedia using the search API, Bing and Yahoo Related Queries API) + combMNZ

DFalah120A

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: DFalah120A
  • Participant: uottawa
  • Track: Web
  • Year: 2012
  • Submission: 7/17/2012
  • Type: automatic
  • Task: adhoc
  • MD5: d1cfb1ccf85e526f7d3362f26f11664a
  • Run description: In this year, we used our method in last year. For queries that have few results, we build a dictionary from wikipedia topics that have impact terms and 2009-trec one million query topics. The resulted topical dictionary is used for indexing the dataset.

DFalah120D

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: DFalah120D
  • Participant: uottawa
  • Track: Web
  • Year: 2012
  • Submission: 7/17/2012
  • Type: automatic
  • Task: diversity
  • MD5: e858c89a2f052fb63a1eddb57b5697fa
  • Run description: In this year, we build a dictionary from wikipedia topics that have impact terms and 2009-trec one million query topics. The resulted topical dictionary is used for indexing the dataset.

DFalah121A

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: DFalah121A
  • Participant: uottawa
  • Track: Web
  • Year: 2012
  • Submission: 7/17/2012
  • Type: automatic
  • Task: adhoc
  • MD5: f57d24c8af720847e0a97d71b9906279
  • Run description: In this year, we used our method in last year. For queries that have few results, we build a dictionary from wikipedia topics that have impact terms and 2009-trec one million query topics. The resulted topical dictionary is used for indexing the dataset.

DFalah121D

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: DFalah121D
  • Participant: uottawa
  • Track: Web
  • Year: 2012
  • Submission: 7/17/2012
  • Type: automatic
  • Task: diversity
  • MD5: bcb582d0eeb4c0802b9432e9625e822b
  • Run description: In this year, we used our method in last year. For queries that have few results, we build a dictionary from wikipedia topics that have impact terms and 2009-trec one million query topics. The resulted topical dictionary is used for indexing the dataset.

DMthbCatASP

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: DMthbCatASP
  • Participant: udel
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: d84f83ad55587acf1a64baf97884788d
  • Run description: Markov Random Field Model on Title, Heading and Body on the full ClueWeb09 Collection

DMthbCatB

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: DMthbCatB
  • Participant: udel
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 9754c19148be46ad2b444901ecfff72f
  • Run description: Markov Random Field Model on Title, Heading and Body

ICTNET12ADR1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: ICTNET12ADR1
  • Participant: ICTNET
  • Track: Web
  • Year: 2012
  • Submission: 7/19/2012
  • Type: automatic
  • Task: adhoc
  • MD5: e6b4c62ba44d41cd1043ddf8455aef92
  • Run description: In run ICTNET12ADR1, we build two index separately. (1)INDEX_WIKI is built for pages in ClueWeb09 under en.wikipedia.org . (2)The other pages in ClueWeb09 is built in INDEX_NORMAL. For INDEX_WIKI, we use Boolean Retrieval Model in url field. For INDEX_NORMAL, the BM25 with sliding window model was used in title and content field to rank the result. The final submission was a combination of the two index above. For each query, (1)We search across INDEX_WIKI first and choose the top 1 result if any matches. (2)Then search across INDEX_NORMAL and fill the other 9999 or 10000 results.

ICTNET12ADR2

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: ICTNET12ADR2
  • Participant: ICTNET
  • Track: Web
  • Year: 2012
  • Submission: 8/5/2012
  • Type: automatic
  • Task: adhoc
  • MD5: b0ca27f91ff258cd674d7420080b6551
  • Run description: In run ICTNET12ADR2, we use new html extractor to validate its performance. The other workflow was nearly the same as ICTNET12ADR1. For each query. (1)We search across INDEX_WIKI first and choose the top 1 result if any matches. (2)Then search across INDEX_NORMAL(Title Or, Content And) and fill the other 9999 or 10000 results.

ICTNET12ADR3

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: ICTNET12ADR3
  • Participant: ICTNET
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: a5007f9039a7d796918630a11d825139
  • Run description: We use Learning to Rank based on Run 2. RankBoost was used. Features are LM.DIR / LM.JM / LM.KL on title/content/url/fuzzy url, spam value, min_windows_size.

ICTNET12DVR1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: ICTNET12DVR1
  • Participant: ICTNET
  • Track: Web
  • Year: 2012
  • Submission: 7/29/2012
  • Type: automatic
  • Task: diversity
  • MD5: c6eaa5c35e3d0bb071f8fc90f458c58f
  • Run description: use LDA to generate the sub-topics and use the xQuAD model to reranking the results

ICTNET12DVR2

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: ICTNET12DVR2
  • Participant: ICTNET
  • Track: Web
  • Year: 2012
  • Submission: 8/2/2012
  • Type: automatic
  • Task: diversity
  • MD5: 5ae7af21f5f7be7605c8ac237ed77584
  • Run description: Almost the same as run 1, but stemming the contents before LDA.

ICTNET12DVR3

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: ICTNET12DVR3
  • Participant: ICTNET
  • Track: Web
  • Year: 2012
  • Submission: 8/7/2012
  • Type: automatic
  • Task: diversity
  • MD5: 6ec1483c03c72e4db3b035dfd40aeb53
  • Run description: All the same with run1 but with using different subtopic number and a better normalize ways.

irra12a

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: irra12a
  • Participant: IRRA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: ea4a8a83f70b47ad03a8f1e19585dfd4
  • Run description: irra12a uses a weighting model based on Divergence From Independence.

irra12b

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: irra12b
  • Participant: IRRA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 8928bf2c1555de180e5304ee0e00d7ba
  • Run description: irra12b uses a weighting model based on Divergence From Independence.

irra12c

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: irra12c
  • Participant: IRRA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 47a178f6bcad155d3cd26bf295a2d37e
  • Run description: irra12a uses a weighting model based on Divergence From Independence.

lcm4res

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: lcm4res
  • Participant: LIA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: diversity
  • MD5: bab3b9785e73d6418e836fe1d0b10f92
  • Run description: Modeling search concepts using a query-oriented algorithm based on Latent Dirichlet Allocation. Concepts are modeled from various sources of information---the ClueWeb09, Wikipedia, the NYT LDC corpus and the GigaWord LDC corpus.

lcmweb

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: lcmweb
  • Participant: LIA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 69e84981aaf41c53db35ea5a2f10af11
  • Run description: Modeling search concepts using a query-oriented algorithm based on Latent Dirichlet Allocation.

lcmweb10p

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: lcmweb10p
  • Participant: LIA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 4e0ed3651bcaa4bf42c04ccbe33f5422
  • Run description: Modeling search concepts using a query-oriented algorithm based on Latent Dirichlet Allocation. Concepts are modeled from the 10 best pages retrieved by the query.

lcmwebnoW

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: lcmwebnoW
  • Participant: LIA
  • Track: Web
  • Year: 2012
  • Submission: 8/8/2012
  • Type: automatic
  • Task: adhoc
  • MD5: d8b30e4863ca353464704503fe657e62
  • Run description: Modeling search concepts using a query-oriented algorithm based on Latent Dirichlet Allocation. Same run as lcmweb without weighting concepts.

manualSTA

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: manualSTA
  • Participant: udel
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: manual
  • Task: diversity
  • MD5: e78fdd97b62f632fe880735a86216361
  • Run description: Manual Subtopics (Subtopics were created by grad students manually) + a novel diversification function

QUTparaBline

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: QUTparaBline
  • Participant: QUT_Para
  • Track: Web
  • Year: 2012
  • Submission: 8/7/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 80bc592a037d22bc2550fa1b070fa5af
  • Run description: This is our baseline run that uses google to determine the first number of documents in the returned result set

QUTparaTQEg1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: QUTparaTQEg1
  • Participant: QUT_Para
  • Track: Web
  • Year: 2012
  • Submission: 8/3/2012
  • Type: automatic
  • Task: adhoc
  • MD5: d480bdf707299f3944ce67bf85a10f7f
  • Run description: This run uses a query expansion technique that is based on a semantic space model primed from a number of clueweb filtered google results.

qutwa

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: qutwa
  • Participant: qutir12
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: d7ce54ef17dc89d78119e75367954ce9
  • Run description: TopSig run, no term stats TOPIC-OUTPUT-K = 10000 PSEUDO-FEEDBACK-SAMPLE = 8 Run on Intel i7 950 3.07GHz, 24GB RAM.

qutwb

Results | Participants | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: qutwb
  • Participant: qutir12
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: c603d4e2b746ea46709dd5798ac5042f
  • Run description: TopSig run, no term stats TOPIC-OUTPUT-K = 10000 PSEUDO-FEEDBACK-SAMPLE = 9 PSEUDO-FEEDBACK-RERANK = 120 Run on Intel i7 950 3.07GHz, 24GB RAM.

srchvrs12c00

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: srchvrs12c00
  • Participant: srchvrs
  • Track: Web
  • Year: 2012
  • Submission: 8/6/2012
  • Type: automatic
  • Task: diversity
  • MD5: b27c579e8030ec72d42fac72ea3afe34
  • Run description: Waterloo University spamrank, CMU PageRank

srchvrs12c09

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: srchvrs12c09
  • Participant: srchvrs
  • Track: Web
  • Year: 2012
  • Submission: 8/6/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 83b59c196c39dc213f9d5d986ca2c050
  • Run description: Waterloo University spamrank, CMU PageRank, MIREX anchortext

srchvrs12c10

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: srchvrs12c10
  • Participant: srchvrs
  • Track: Web
  • Year: 2012
  • Submission: 8/6/2012
  • Type: automatic
  • Task: diversity
  • MD5: adadd5e1f59124ea8c0e11616648525b
  • Run description: Waterloo University spamrank, CMU PageRank, MIREX anchortext

UDInfoDivC1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: UDInfoDivC1
  • Participant: udel_fang
  • Track: Web
  • Year: 2012
  • Submission: 8/1/2012
  • Type: automatic
  • Task: diversity
  • MD5: c9409691d4842b37ad942ea98cf0c0b1
  • Run description: Combine diversification method using ODP.

UDInfoDivC2

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: UDInfoDivC2
  • Participant: udel_fang
  • Track: Web
  • Year: 2012
  • Submission: 8/1/2012
  • Type: automatic
  • Task: diversity
  • MD5: e1a8bfcd5aaa426e8d2a49a71f6c014d
  • Run description: Combine diversification method using DBPedia.

UDInfoDivSt

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: UDInfoDivSt
  • Participant: udel_fang
  • Track: Web
  • Year: 2012
  • Submission: 8/1/2012
  • Type: automatic
  • Task: diversity
  • MD5: e9e7c7d2011637885335d6612319a2f3
  • Run description: Adaptive structural diversification methods using DBPedia

uogTrA44s9

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: uogTrA44s9
  • Participant: uogTr
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 051665b3adb3f42ac2ad9c59237a5dc7
  • Run description: Learned model including various Divergence from Randomness and other features, and a novel method to increase recall.

uogTrA44xi

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: uogTrA44xi
  • Participant: uogTr
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: cd3b8cb108716580cb5bcc5284f157a3
  • Run description: Learned model including various Divergence from Randomness and other features, with improved coverage of related queries using the xQuAD diversification framework.

uogTrA44xl

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: uogTrA44xl
  • Participant: uogTr
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 69eb346628ba295c46f267f20441a78c
  • Run description: Diversified ranking produced by a novel machine learning approach to search result diversification, using query- and query-suggestion-dependent features.

uogTrA44xu

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: uogTrA44xu
  • Participant: uogTr
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 35906e25040006b7b92f314fe8decba2
  • Run description: Diversified ranking produced by the xQuAD framework, using query suggestions and machine learned models of relevance, coverage, and novelty.

uogTrB44xu

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: uogTrB44xu
  • Participant: uogTr
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 4b199c805454a1f8c96186907b62f0fb
  • Run description: Diversified ranking produced by the xQuAD framework, using query suggestions and machine learned models of relevance, coverage, and novelty.

uogTrB45aIs

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: uogTrB45aIs
  • Participant: uogTr
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 9d052c3764cf1c0af86fdec29b3f7ff9
  • Run description: Learned model including various Divergence from Randomness and other features, including a novel technique to learn the importance of groups of pages.

utw2012c1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: utw2012c1
  • Participant: utwente
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 144dcae79e8881bcb1d64cce88253dc8
  • Run description: Ensemble clustering combination 1

utw2012c2

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: utw2012c2
  • Participant: utwente
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 051eb819bd8e74a7326e3d60f55358a2
  • Run description: ensemble combination 2

utw2012fc1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: utw2012fc1
  • Participant: utwente
  • Track: Web
  • Year: 2012
  • Submission: 8/10/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 096a7039805852a20f921fba66226de1
  • Run description: full ensemble combination

utw2012lda

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: utw2012lda
  • Participant: utwente
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 9b22f2666421eb4d74a013086ee219c3
  • Run description: Diversity baseline based on LDA

utw2012lm09

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: utw2012lm09
  • Participant: utwente
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: adhoc
  • MD5: 229a8eb20a3945aacc0ef811e35d29bc
  • Run description: Language model baseline based on anchor text

utw2012sc1

Results | Participants | Proceedings | Input | Summary (trec_eval) | Summary (ndeval) | Summary (gdeval) | Appendix

  • Run ID: utw2012sc1
  • Participant: utwente
  • Track: Web
  • Year: 2012
  • Submission: 8/9/2012
  • Type: automatic
  • Task: diversity
  • MD5: 9f360e9c67fc585facbf2a78b9d5acd5
  • Run description: Simple ensemble combination