graphs on synthetic data
DESCRIPTION
Graphs on synthetic data using anish's method of generating prob. data (see http://pdi2013.blogspot.com/2013/01/generating-d2-anish.html)TRANSCRIPT
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)
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)
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)
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 (Uniform)
union-10union-25
majoritycosine
2estimateprecRec (threshold)
precRec (weighted)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)