2023-05-20 20:23:17 +02:00
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import quapy as qp
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def from_name(err_name):
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if err_name == 'f1e':
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return f1e
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else:
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return qp.error.from_name(err_name)
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def f1e(prev):
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return 1 - f1_score(prev)
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def f1_score(prev):
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2023-06-05 21:54:22 +02:00
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# https://github.com/dice-group/gerbil/wiki/Precision,-Recall-and-F1-measure
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if prev[0] == 0 and prev[1] == 0 and prev[2] == 0:
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return 1.0
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elif prev[0] == 0 and prev[1] > 0 and prev[2] == 0:
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return 0.0
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elif prev[0] == 0 and prev[1] == 0 and prev[2] > 0:
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return float('NaN')
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else:
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recall = prev[0] / (prev[0] + prev[1])
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precision = prev[0] / (prev[0] + prev[2])
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return 2 * (precision * recall) / (precision + recall)
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