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.
machine-learning scikit-learn nlp accuracy sentiment-analysis
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$begingroup$
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.
machine-learning scikit-learn nlp accuracy sentiment-analysis
New contributor
$endgroup$
add a comment |
$begingroup$
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.
machine-learning scikit-learn nlp accuracy sentiment-analysis
New contributor
$endgroup$
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
machine-learning scikit-learn nlp accuracy sentiment-analysis
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New contributor
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asked 9 hours ago
Amitrajit BoseAmitrajit Bose
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Amitrajit Bose is a new contributor. Be nice, and check out our Code of Conduct.
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