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. 2015 Oct 30;16(Suppl 16):S4. doi: 10.1186/1471-2105-16-S16-S4

Table 5.

GE11 event extraction with scikit-learn classifiers.

Classifier Parameters Recall Precision F-score
BernoulliNB alpha = 0.001,0.01,0.1,1,10,100,1000 53.41 14.93 23.34
Perceptron default 38.82 61.73 47.67
SVC C=[10-3, 106], probability=True 47.06 66.05 54.96
LinearSVC C=[10-3, 106] 46.65 68.02 55.35
ExtraTrees n_estimators = 10,50,100 27.97 78.58 41.25
RandomForest n_estimators = 10,50,100,500 24.92 78.65 37.84
SVMmulticlass C=[1,106] 54.98 52.89 53.92

The SVMmulticlass used in all TEES BioNLP Shared Task results is shown for reference. Performance is evaluated for task 1 on the development set with the downloadable GE11 evaluator.