Feature Description
Name en_tako_query_filter
Version 0.0.1
spaCy >=3.7.5,<3.8.0
Default Pipeline tok2vec, ner, textcat, textcat_classify
Components tok2vec, ner, textcat, textcat_classify
Vectors 514157 keys, 514157 unique vectors (300 dimensions)
Sources n/a
License n/a
Author n/a

Label Scheme

View label scheme (35 labels for 3 components)
Component Labels
ner CARDINAL, CUSTOM_ATTRIBUTE, CUSTOM_SEMANTIC_FUNCTION, CUSTOM_SPORTS_CONFERENCE, CUSTOM_SPORTS_LEAGUE, CUSTOM_SPORTS_ROLE, CUSTOM_STOCK_TICKER, CUSTOM_TEAM, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART
textcat Business and Finance, Arts, Culture, and Entertainment, Crime, Sports, Politics, Science and Technology, Health and Wellness, Lifestyle and Fashion
textcat_classify ACCEPT, REJECT

Accuracy

Type Score
ENTS_F 0.00
ENTS_P 0.00
ENTS_R 0.00
ENTS_PER_TYPE 0.00
CATS_SCORE 86.07
CATS_MICRO_P 86.21
CATS_MICRO_R 86.21
CATS_MICRO_F 86.21
CATS_MACRO_P 86.21
CATS_MACRO_R 86.22
CATS_MACRO_F 86.21
CATS_MACRO_AUC 93.19
TEXTCAT_CLASSIFY_LOSS 84.03
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Evaluation results