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Table 6 Testing accuracy per class for the region of interest detection task. Low precision indicates that the problem is hard to solve using classification at fine level granularity. However, a simple 0/1 classifier is sufficient to infer the region of interest with 0.816 recall

From: Nowcasting earthquake damages with Twitter

Class

FP Rate

Precision

Recall

F-measure

ROC Area

0

0.184

0.765

0.517

0.617

0.667

1

0.483

0.594

0.816

0.687

0.667

W. Avg.

0.323

0.685

0.656

0.650

0.667