precrec vs. baselines

24
0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 Precision FR Precision vs. FR (Random) union-10 union-25 majority cosine 2estimate precRec (threshold) precRec (weighted)

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Page 1: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Prec

isio

n

FR

Precision vs. FR (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 2: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Prec

isio

n

FR

Precision vs. FR (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 3: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

60 80 100 120 140 160 180 200

Prec

isio

n

Number of Sources

Precision vs. Number of Sources (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 4: precRec vs. baselines

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0.2

0.4

0.6

0.8

1

60 80 100 120 140 160 180 200

Prec

isio

n

Number of Sources

Precision vs. Number of Sources (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 5: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

500 1000 1500 2000 2500 3000 3500 4000

Prec

isio

n

Number of Tuples

Precision vs. Number of Tuples (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 6: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

500 1000 1500 2000 2500 3000 3500 4000

Prec

isio

n

Number of Tuples

Precision vs. Number of Tuples (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 7: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Prec

isio

n

Truth Fraction

Precision vs. Truth Fraction (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 8: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Prec

isio

n

Truth Fraction

Precision vs. Truth Fraction (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 9: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Rec

all

FR

Recall vs. FR (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 10: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Rec

all

FR

Recall vs. FR (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 11: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

60 80 100 120 140 160 180 200

Rec

all

Number of Sources

Recall vs. Number of Sources (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 12: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

60 80 100 120 140 160 180 200

Rec

all

Number of Sources

Recall vs. Number of Sources (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 13: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

500 1000 1500 2000 2500 3000 3500 4000

Rec

all

Number of Tuples

Recall vs. Number of Tuples (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 14: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

500 1000 1500 2000 2500 3000 3500 4000

Rec

all

Number of Tuples

Recall vs. Number of Tuples (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 15: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Rec

all

Truth Fraction

Recall vs. Truth Fraction (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 16: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

Rec

all

Truth Fraction

Recall vs. Truth Fraction (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 17: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

F-1

FR

F-1 vs. FR (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 18: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

F-1

FR

F-1 vs. FR (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 19: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

60 80 100 120 140 160 180 200

F-1

Number of Sources

F-1 vs. Number of Sources (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 20: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

60 80 100 120 140 160 180 200

F-1

Number of Sources

F-1 vs. Number of Sources (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 21: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

500 1000 1500 2000 2500 3000 3500 4000

F-1

Number of Tuples

F-1 vs. Number of Tuples (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 22: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

500 1000 1500 2000 2500 3000 3500 4000

F-1

Number of Tuples

F-1 vs. Number of Tuples (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 23: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

F-1

Truth Fraction

F-1 vs. Truth Fraction (Random)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)

Page 24: precRec vs. baselines

0

0.2

0.4

0.6

0.8

1

0 0.2 0.4 0.6 0.8 1

F-1

Truth Fraction

F-1 vs. Truth Fraction (Uniform)

union-10union-25

majoritycosine

2estimateprecRec (threshold)

precRec (weighted)