Graphs on Synthetic Data

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Graphs on synthetic data using anish's method of generating prob. data (see http://pdi2013.blogspot.com/2013/01/generating-d2-anish.html)

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Graphs on Synthetic Data

  1. 1. Precision vs. FR (Random) 1 0.8 0.6Precision 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 FR union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  2. 2. Precision vs. FR (Uniform) 1 0.8 0.6Precision 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 FR union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  3. 3. Precision vs. Number of Sources (Random) 1 0.8 0.6Precision 0.4 0.2 0 60 80 100 120 140 160 180 200 Number of Sources union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  4. 4. Precision vs. Number of Sources (Uniform) 1 0.8 0.6Precision 0.4 0.2 0 60 80 100 120 140 160 180 200 Number of Sources union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  5. 5. Precision vs. Number of Tuples (Random) 1 0.8 0.6Precision 0.4 0.2 0 500 1000 1500 2000 2500 3000 3500 4000 Number of Tuples union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  6. 6. Precision vs. Number of Tuples (Uniform) 1 0.8 0.6Precision 0.4 0.2 0 500 1000 1500 2000 2500 3000 3500 4000 Number of Tuples union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  7. 7. Precision vs. Truth Fraction (Random) 1 0.8 0.6Precision 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 Truth Fraction union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  8. 8. Precision vs. Truth Fraction (Uniform) 1 0.8 0.6Precision 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 Truth Fraction union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  9. 9. Recall vs. FR (Random) 1 0.8 0.6Recall 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 FR union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  10. 10. Recall vs. FR (Uniform) 1 0.8 0.6Recall 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 FR union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  11. 11. Recall vs. Number of Sources (Random) 1 0.8 0.6Recall 0.4 0.2 0 60 80 100 120 140 160 180 200 Number of Sources union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  12. 12. Recall vs. Number of Sources (Uniform) 1 0.8 0.6Recall 0.4 0.2 0 60 80 100 120 140 160 180 200 Number of Sources union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  13. 13. Recall vs. Number of Tuples (Random) 1 0.8 0.6Recall 0.4 0.2 0 500 1000 1500 2000 2500 3000 3500 4000 Number of Tuples union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  14. 14. Recall vs. Number of Tuples (Uniform) 1 0.8 0.6Recall 0.4 0.2 0 500 1000 1500 2000 2500 3000 3500 4000 Number of Tuples union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  15. 15. Recall vs. Truth Fraction (Random) 1 0.8 0.6Recall 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 Truth Fraction union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  16. 16. Recall vs. Truth Fraction (Uniform) 1 0.8 0.6Recall 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 Truth Fraction union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  17. 17. F-1 vs. FR (Random) 1 0.8 0.6F-1 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 FR union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  18. 18. F-1 vs. FR (Uniform) 1 0.8 0.6F-1 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 FR union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  19. 19. F-1 vs. Number of Sources (Random) 1 0.8 0.6F-1 0.4 0.2 0 60 80 100 120 140 160 180 200 Number of Sources union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  20. 20. F-1 vs. Number of Sources (Uniform) 1 0.8 0.6F-1 0.4 0.2 0 60 80 100 120 140 160 180 200 Number of Sources union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  21. 21. F-1 vs. Number of Tuples (Random) 1 0.8 0.6F-1 0.4 0.2 0 500 1000 1500 2000 2500 3000 3500 4000 Number of Tuples union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  22. 22. F-1 vs. Number of Tuples (Uniform) 1 0.8 0.6F-1 0.4 0.2 0 500 1000 1500 2000 2500 3000 3500 4000 Number of Tuples union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  23. 23. F-1 vs. Truth Fraction (Random) 1 0.8 0.6F-1 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 Truth Fraction union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)
  24. 24. F-1 vs. Truth Fraction (Uniform) 1 0.8 0.6F-1 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 Truth Fraction union-10 majority 2estimate precRec (weighted) union-25 cosine precRec (threshold)

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