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