Graphs on Synthetic Data
- 1. Precision vs. FR (Random)
1
0.8
0.6
Precision
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. Precision vs. FR (Uniform)
1
0.8
0.6
Precision
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. Precision vs. Number of Sources (Random)
1
0.8
0.6
Precision
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. Precision vs. Number of Sources (Uniform)
1
0.8
0.6
Precision
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. Precision vs. Number of Tuples (Random)
1
0.8
0.6
Precision
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. Precision vs. Number of Tuples (Uniform)
1
0.8
0.6
Precision
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. Precision vs. Truth Fraction (Random)
1
0.8
0.6
Precision
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. Precision vs. Truth Fraction (Uniform)
1
0.8
0.6
Precision
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. Recall vs. FR (Random)
1
0.8
0.6
Recall
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. Recall vs. FR (Uniform)
1
0.8
0.6
Recall
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. Recall vs. Number of Sources (Random)
1
0.8
0.6
Recall
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. Recall vs. Number of Sources (Uniform)
1
0.8
0.6
Recall
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. Recall vs. Number of Tuples (Random)
1
0.8
0.6
Recall
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. Recall vs. Number of Tuples (Uniform)
1
0.8
0.6
Recall
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. Recall vs. Truth Fraction (Random)
1
0.8
0.6
Recall
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. Recall vs. Truth Fraction (Uniform)
1
0.8
0.6
Recall
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. F-1 vs. FR (Random)
1
0.8
0.6
F-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. F-1 vs. FR (Uniform)
1
0.8
0.6
F-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. F-1 vs. Number of Sources (Random)
1
0.8
0.6
F-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. F-1 vs. Number of Sources (Uniform)
1
0.8
0.6
F-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. F-1 vs. Number of Tuples (Random)
1
0.8
0.6
F-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. F-1 vs. Number of Tuples (Uniform)
1
0.8
0.6
F-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. F-1 vs. Truth Fraction (Random)
1
0.8
0.6
F-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. F-1 vs. Truth Fraction (Uniform)
1
0.8
0.6
F-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)