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README.md
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@@ -28,4 +28,32 @@ Check out [NER-System Repository](https://github.com/djagatiya/NER-System) for m
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- Precision: 89.53
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- Recall: 91.00
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- F1-Score: 90.26
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- Precision: 89.53
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- Recall: 91.00
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- F1-Score: 90.26
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```
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precision recall f1-score support
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CARDINAL 0.86 0.87 0.86 935
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DATE 0.85 0.89 0.87 1602
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EVENT 0.65 0.78 0.71 63
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FAC 0.74 0.80 0.77 135
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GPE 0.97 0.96 0.96 2240
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LANGUAGE 0.83 0.68 0.75 22
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LAW 0.71 0.68 0.69 40
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LOC 0.74 0.77 0.76 179
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MONEY 0.88 0.90 0.89 314
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NORP 0.94 0.97 0.95 841
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ORDINAL 0.79 0.87 0.83 195
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ORG 0.92 0.92 0.92 1795
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PERCENT 0.92 0.92 0.92 349
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PERSON 0.95 0.95 0.95 1988
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PRODUCT 0.65 0.76 0.70 76
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QUANTITY 0.77 0.82 0.80 105
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TIME 0.62 0.65 0.63 212
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WORK_OF_ART 0.64 0.69 0.66 166
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micro avg 0.90 0.91 0.90 11257
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macro avg 0.80 0.83 0.81 11257
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weighted avg 0.90 0.91 0.90 11257
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```
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