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Comparing the performance of precRec on D2 (prob. data) using uniform, random approaches and D3 (deterministic data) using a threshold of 0.5
precRec on D2, D3
precRec on D2, D3
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Comparing the performance of precRec on D2 (prob. data) using uniform, random approaches and D3 (deterministic data) using a threshold of 0.5. These graphs are updated after corrections to the source precision & recall of deterministic data.
precRec on D2, D3
precRec on D2, D3
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Compare performance of precRec on prob. data with p1=0.4, p2=0.6 and deterministic data with thresholds = {0.1, 0.3. 0.5. 0.7, 0.9}. These graphs are updated after corrections to source precision & recall on deterministic data.
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precRec with P1=0.4, P2=0.6
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Comparing the performance of precRec on D2 (prob. data) using uniform, random approaches and D3 (deterministic data) using a threshold of 0.5
precRec on D2, D3
precRec on D2, D3
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Comparing the performance of precRec on D2 (prob. data) using uniform, random approaches and D3 (deterministic data) using a threshold of 0.5. These graphs are updated after corrections to the source precision & recall of deterministic data.
precRec on D2, D3
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Compare performance of precRec on prob. data with p1=0.4, p2=0.6 and deterministic data with thresholds = {0.1, 0.3. 0.5. 0.7, 0.9}. These graphs are updated after corrections to source precision & recall on deterministic data.
precRec with P1=0.4, P2=0.6
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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)
Graphs on Synthetic Data
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performance of precRec (weighted & threshold) wrt baseline voters. These graphs are updated after corrections to the source precision & recall we use for deterministic data.
precRec vs. baselines
precRec vs. baselines
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Compare performance of precRec on prob. data with p1=0.4, p2=0.6 and deterministic data with thresholds = {0.1, 0.3. 0.5. 0.7, 0.9}
precRec with P1=0.4, P2=0.6
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performance of precRec (weighted & threshold) wrt baseline voters. These graphs are updated after corrections to the source precision & recall we use for deterministic data.
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precRec vs. baselines
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Compare performance of precRec on prob. data with p1=0.4, p2=0.6 and deterministic data with thresholds = {0.1, 0.3. 0.5. 0.7, 0.9}
precRec with P1=0.4, P2=0.6
precRec with P1=0.4, P2=0.6
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Graphs on Synthetic Data
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precRec vs. baselines
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