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20 lines
714 B
20 lines
714 B
# citation-analysis
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Project repo for Computational Linguistics Team Laboratory at the University of Stuttgart
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### **Evaluation**
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we plan to implement and use ***f1_score*** metric for evaluation of our classifier
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> F1 score is a weighted average of Precision and Recall(or Harmonic Mean between Precision and Recall).
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> The formula for F1 Score is:
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> F1 = 2 * (precision * recall) / (precision + recall)
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```python
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eval.metrics.f1_score(y_true, y_pred, labels, average)
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```
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#### Parameters:
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**y_true** : 1-d array or list of gold class values
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**y_pred** : 1-d array or list of estimated values returned by a classifier
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**labels** : list of labels/classes
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**average**: string - [None, 'micro', 'macro']
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