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Many Deep learning models and Classical Machine learning techniques to solve Multi-Label classification probelm

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Baseline_Models

Baseline_Models

 
 

Data

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Multi_label_slice

Multi_label_slice

 
 

Tensorflow_models

Tensorflow_models

 
 

keras_models

keras_models

 
 

.DS_Store

.DS_Store

 
 

BiLSTM_multilabel_classification.py

BiLSTM_multilabel_classification.py

 
 

README.md

README.md

 
 

result.txt

result.txt

 
 

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Multi label classification framework

Testing on Multilabel Reuters dataset with %25 labels ratio

  • {'model': 'BinaryRe', 'result' : {'accuracy': 0.7255393878575013, 'f1_score': 0.8039867109634552}}
  • {'model': 'powerset', 'result' : {'accuracy': 0.7907676869041645, 'f1_score': 0.7904977375565612}}
  • {'model': 'mlknn', 'result' : {'accuracy': 0.8283993978926242, 'f1_score': 0.8840097582612552}}
  • {'model': 'classfier_chain', 'result': {'accuracy': 0.6788760662318113, 'f1_score': 0.7657798643714135}}

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Many Deep learning models and Classical Machine learning techniques to solve Multi-Label classification probelm

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