format result table
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README.md
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@@ -222,13 +222,13 @@ The model performance is tested with fours metrices. Accuracy, Precision, Recall
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## Results
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| 0.7004405286343612 | 0.5717666948436179 | 0.6127063220180629 | 0.5805958812647776 |
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| 0.9162995594713657 | 0.9318954248366014 | 0.9122380952380952 | 0.8984289453766925 |
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| 0.7004405286343612 | 0.
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| 0.5445544554455446 | 0.41787439613526567 | 0.39929183135704877 | 0.4010173484686228 |
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| 0.5445544554455446 | 0.6018518518518519 | 0.6278409090909091 | 0.6066776135741653 |
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### Summary
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## Results
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| ***task*** | ***acccuracy*** | ***precision (macro)*** | ***recall (macro)*** | ***f1 (macro)*** |
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| Test dataset Bezeichnung I | 0.7004405286343612 | 0.5717666948436179 | 0.6127063220180629 | 0.5805958812647776 |
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| Test dataset Thema I | 0.9162995594713657 | 0.9318954248366014 | 0.9122380952380952 | 0.8984289453766925 |
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| Test dataset Bezeichnung II | 0.7004405286343612 | 0.573015873015873 | 0.8207602339181287 | 0.6515010351966875 |
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| Validation dataset Bezeichnung I | 0.5445544554455446 | 0.41787439613526567 | 0.39929183135704877 | 0.4010173484686228 |
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| Validation dataset Thema I | 0.5445544554455446 | 0.6018518518518519 | 0.6278409090909091 | 0.6066776135741653 |
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### Summary
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