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@@ -16,3 +16,17 @@ Tensorflow 1.12
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Although, I did not strictly follow the params of the papar , I still got a good result.
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# my experimental results on KolektorSDD
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Notes: the first 30 subfolders are used as training sets, the remaining 20 for testing.
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```
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2019-05-21 09:20:54,634 - utils - INFO - total number of samples = 160
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2019-05-21 09:20:54,634 - utils - INFO - positive = 22
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2019-05-21 09:20:54,634 - utils - INFO - negative = 138
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2019-05-21 09:20:54,634 - utils - INFO - TP = 21
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2019-05-21 09:20:54,634 - utils - INFO - NP = 0
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2019-05-21 09:20:54,634 - utils - INFO - TN = 138
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2019-05-21 09:20:54,635 - utils - INFO - FN = 1
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2019-05-21 09:20:54,635 - utils - INFO - accuracy(准确率) = 0.9938
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2019-05-21 09:20:54,635 - utils - INFO - prescision(查准率) = 1.0000
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2019-05-21 09:20:54,635 - utils - INFO - recall(查全率) = 0.9545
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```

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