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/tests/evaluation/test_evaluate.py
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| a | b/tests/evaluation/test_evaluate.py | ||
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| 1 | from deidentify.base import Annotation, Document |
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| 2 | from deidentify.evaluation.evaluator import ENTITY_TAG, Evaluator |
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| 3 | |||
| 4 | |||
| 5 | def test_entity_level(): |
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| 6 | gold = [ |
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| 7 | Document(name='doc_a', text='', annotations=[Annotation('', 3, 6, 'MISC')]), |
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| 8 | Document(name='doc_b', text='', annotations=[Annotation('', 0, 2, 'PER')]) |
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| 9 | ] |
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| 10 | |||
| 11 | predicted = [ |
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| 12 | Document(name='doc_a', text='', annotations=[Annotation('', 2, 6, 'MISC')]), |
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| 13 | Document(name='doc_b', text='', annotations=[Annotation('', 0, 2, 'PER')]) |
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| 14 | ] |
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| 15 | |||
| 16 | evaluator = Evaluator(gold, predicted) |
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| 17 | scores = evaluator.entity_level() |
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| 18 | assert scores.micro_avg_f_score() == 0.5 |
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| 19 | assert scores.macro_avg_f_score() == 0.5 |
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| 20 | assert scores.f_score('PER') == 1 |
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| 21 | assert scores.f_score('MISC') == 0 |
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| 22 | |||
| 23 | |||
| 24 | def test_token_annotations(): |
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| 25 | evaluator = Evaluator(gold=(), predicted=()) |
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| 26 | doc = Document(name='doc_a', text='A B C D.', annotations=[ |
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| 27 | Annotation('B C', 2, 5, 'PER'), |
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| 28 | Annotation('D.', 6, 8, 'ORG') |
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| 29 | ]) |
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| 30 | |||
| 31 | assert evaluator.token_annotations(doc) == ['O', 'PER', 'PER', 'ORG'] |
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| 32 | assert evaluator.token_annotations(doc, tag_blind=True) == ['O', 'ENT', 'ENT', 'ENT'] |
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| 33 | |||
| 34 | |||
| 35 | def test_token_level(): |
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| 36 | text = 'A B C D.' |
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| 37 | |||
| 38 | gold_a = [Annotation('B C', 2, 5, 'PER')] |
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| 39 | gold_b = [Annotation('A', 0, 1, 'ORG'), Annotation('B', 2, 3, 'PER')] |
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| 40 | |||
| 41 | pred_a = [Annotation('B', 2, 3, 'PER'), Annotation('C', 4, 5, 'PER')] |
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| 42 | pred_b = [Annotation('A', 0, 1, 'ORG'), Annotation('B', 2, 3, 'ORG')] |
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| 43 | |||
| 44 | gold = [ |
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| 45 | Document(name='doc_a', text=text, annotations=gold_a), |
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| 46 | Document(name='doc_b', text=text, annotations=gold_b) |
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| 47 | ] |
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| 48 | |||
| 49 | predicted = [ |
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| 50 | Document(name='doc_a', text=text, annotations=pred_a), |
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| 51 | Document(name='doc_b', text=text, annotations=pred_b) |
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| 52 | ] |
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| 53 | |||
| 54 | evaluator = Evaluator(gold, predicted) |
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| 55 | scores = evaluator.token_level() |
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| 56 | assert scores.precision('PER') == 1 |
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| 57 | assert scores.recall('PER') == 0.6667 |
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| 58 | assert scores.f_score('PER') == 0.8 |
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| 59 | |||
| 60 | assert scores.precision('ORG') == 0.5 |
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| 61 | assert scores.recall('ORG') == 1 |
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| 62 | assert scores.f_score('ORG') == 0.6667 |
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| 63 | |||
| 64 | |||
| 65 | def test_token_level_blind(): |
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| 66 | gold_a = [Annotation('B C', 2, 5, 'PER')] |
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| 67 | gold_b = [Annotation('A', 0, 1, 'ORG')] |
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| 68 | |||
| 69 | pred_a = [Annotation('B', 2, 3, 'PER'), Annotation('C', 4, 5, 'PER')] |
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| 70 | pred_b = [] |
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| 71 | |||
| 72 | gold = [ |
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| 73 | Document(name='doc_a', text='A B C D.', annotations=gold_a), |
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| 74 | Document(name='doc_b', text='A B C D.', annotations=gold_b) |
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| 75 | ] |
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| 76 | |||
| 77 | predicted = [ |
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| 78 | Document(name='doc_a', text='A B C D.', annotations=pred_a), |
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| 79 | Document(name='doc_b', text='A B C D.', annotations=pred_b) |
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| 80 | ] |
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| 81 | |||
| 82 | evaluator = Evaluator(gold, predicted) |
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| 83 | scores = evaluator.token_level_blind() |
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| 84 | assert scores.precision(ENTITY_TAG) == 1 |
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| 85 | assert scores.recall(ENTITY_TAG) == 0.6667 |
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| 86 | assert scores.f_score(ENTITY_TAG) == 0.8 |