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add results

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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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- | accuracy | precision_macro | recall_macro | f1_macro | Task |
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  |-----|-----|-----|-----|-----|
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  | 0.7004405286343612 | 0.5717666948436179 | 0.6127063220180629 | 0.5805958812647776 | Test dataset Bezeichnung I |
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  | 0.9162995594713657 | 0.9318954248366014 | 0.9122380952380952 | 0.8984289453766925 | Test dataset Thema I |
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- | 0.7004405286343612 | 0.5730158730158731 | 0.8207602339181287 | 0.6515010351966873 | Test dataset Bezeichnung II |
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  | 0.5445544554455446 | 0.41787439613526567 | 0.39929183135704877 | 0.4010173484686228 | Validation dataset Bezeichnung I |
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- | 0.5445544554455446 | 0.6018518518518517 | 0.6278409090909091 | 0.6066776135741653 | Validation dataset Thema I |
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  ### Summary
 
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  ## Results
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+ | accuracy | precision_macro | recall_macro | f1_macro | task |
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  |-----|-----|-----|-----|-----|
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  | 0.7004405286343612 | 0.5717666948436179 | 0.6127063220180629 | 0.5805958812647776 | Test dataset Bezeichnung I |
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  | 0.9162995594713657 | 0.9318954248366014 | 0.9122380952380952 | 0.8984289453766925 | Test dataset Thema I |
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+ | 0.7004405286343612 | 0.5730158730158731 | 0.8207602339181287 | 0.6515010351966875 | Test dataset Bezeichnung II |
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  | 0.5445544554455446 | 0.41787439613526567 | 0.39929183135704877 | 0.4010173484686228 | Validation dataset Bezeichnung I |
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+ | 0.5445544554455446 | 0.6018518518518519 | 0.6278409090909091 | 0.6066776135741653 | Validation dataset Thema I |
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  ### Summary