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import sklearn.metrics
import numpy as np
def f1_macro(targets, predictions):
targets, predictions = np.asarray(targets).astype(int), np.asarray(predictions).astype(int)
return {"f1_macro": 100*sklearn.metrics.f1_score(targets, predictions, average='macro')}
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