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LPS Full set of results (DAMI version)

Full set of results for LPS submitted to Data Mining and Knowledge Discovery. The excel file has 9 worksheets named as:

  1. ProblemChar: Summary of the problem characteristics (75 datasets)
  2. Comparison: Test error rates for LPS and competitor algorithms (Tables 1 and 2 in the manuscript)
  3. ComparisonGroupsTest error rates and ranks for LPS and competitor algorithms based on the problem category
  4. ComparisonGroupsReducedTest error rates and ranks for LPS and selected competitor algorithms based on the problem category
  5. LPSBest: Test error rates for each replication (10 replications, ntree=200) with selected parameters and leave-one-out (LOO) cross-validation (CV) accuracy over training datasets with selected parameters (segment length and depth settings)
  6. LPSFullRegr.Splits: Test error rates for each replication (10 replications, ntree=200) for LPS with regression splits and fixed parameters (random segment length, depth=6)
  7. LPSFullRandomSplitsTest error rates for each replication (10 replications, ntree=200) for LPS with radom splits and fixed parameters (random segment length, depth=6)
  8. CVAccuracyOther: LOO CV accuracies of all classifiers (to draw Texas Sharpshooter Plot)
  9. LinesBagnallTestError rates from J. Lines and A. Bagnall. Time series classification with ensembles of elastic distance measures. Data Mining and Knowledge Discovery, pages 1–28, 2014



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Created 2014-11-17 22:14:56
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Copyright © 2014 mustafa gokce baydogan

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