Confidence Score For Trained Sentiment Analyser Model












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I have trained a text based sentiment analysis model, using SciKit-learn and custom data. I have the model ready and it works fine in predicting a text to a class (Positive or Negative or Neutral). I have achieved over 85% testing accuracy and around 80% cross validation accuracy.



But I want to get the confidence score attached to each of my prediction to a new example data/text I feed to the classifier. This is just an extra parameter I want to show/output apart from just the predicted class.



I have no idea how to achieve this, I shall be really thankful if anyone can provide some helpful insights.










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    0












    $begingroup$


    I have trained a text based sentiment analysis model, using SciKit-learn and custom data. I have the model ready and it works fine in predicting a text to a class (Positive or Negative or Neutral). I have achieved over 85% testing accuracy and around 80% cross validation accuracy.



    But I want to get the confidence score attached to each of my prediction to a new example data/text I feed to the classifier. This is just an extra parameter I want to show/output apart from just the predicted class.



    I have no idea how to achieve this, I shall be really thankful if anyone can provide some helpful insights.










    share|improve this question







    New contributor




    Amitrajit Bose is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      I have trained a text based sentiment analysis model, using SciKit-learn and custom data. I have the model ready and it works fine in predicting a text to a class (Positive or Negative or Neutral). I have achieved over 85% testing accuracy and around 80% cross validation accuracy.



      But I want to get the confidence score attached to each of my prediction to a new example data/text I feed to the classifier. This is just an extra parameter I want to show/output apart from just the predicted class.



      I have no idea how to achieve this, I shall be really thankful if anyone can provide some helpful insights.










      share|improve this question







      New contributor




      Amitrajit Bose is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I have trained a text based sentiment analysis model, using SciKit-learn and custom data. I have the model ready and it works fine in predicting a text to a class (Positive or Negative or Neutral). I have achieved over 85% testing accuracy and around 80% cross validation accuracy.



      But I want to get the confidence score attached to each of my prediction to a new example data/text I feed to the classifier. This is just an extra parameter I want to show/output apart from just the predicted class.



      I have no idea how to achieve this, I shall be really thankful if anyone can provide some helpful insights.







      machine-learning scikit-learn nlp accuracy sentiment-analysis






      share|improve this question







      New contributor




      Amitrajit Bose is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Amitrajit Bose is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






      New contributor




      Amitrajit Bose is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 9 hours ago









      Amitrajit BoseAmitrajit Bose

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      New contributor





      Amitrajit Bose is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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