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README.md
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@@ -32,6 +32,12 @@ The model is trained on a dataset of labeled issue reports and is designed to pr
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| enhancement | 299,287 (41.4%) | 33,290 (41.3%) |
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| question | 62,373 (8.6%) | 7,076 (8.8%) |
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## Metrics
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The model is evaluated using the following metrics:
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| enhancement | 299,287 (41.4%) | 33,290 (41.3%) |
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| question | 62,373 (8.6%) | 7,076 (8.8%) |
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## Data preprocessing
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The data used for training was preprocessed with [ekphrasis](https://github.com/cbaziotis/ekphrasis), adding some regular expressions to remove code, images and URLs.
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Check out our [GitHub](https://github.com/collab-uniba/Issue-Report-Classification-Using-RoBERTa) code for more information about this.
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## Metrics
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The model is evaluated using the following metrics:
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