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Naive Bayes - low Is it ok to have an accuracy, high of 65% and a sensitivity of 90% with Naive Bayes for sentiment analysis?

I am creating a sentiment analysis model using Naive Bayes. When I test the model, I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. 

So, I am wondering if there are methods to fixing this datadata; or, since the sensitivity is very high, then I canwould it be ok to move forward with the model.?

Naive Bayes - low accuracy, high sensitivity

I am creating a sentiment analysis model using Naive Bayes. When I test the model I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. So, I am wondering if there are methods to fixing this data or since the sensitivity is very high then I can move forward with the model.

Is it ok to have an accuracy of 65% and a sensitivity of 90% with Naive Bayes for sentiment analysis?

I am creating a sentiment analysis model using Naive Bayes. When I test the model, I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. 

So, I am wondering if there are methods to fixing this data; or, since the sensitivity is very high, then would it be ok to move forward with the model?

Bumped by Community user

I am creating a sentiment analysis model using Naive Bayes. When I test the model I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. So, I am wondering if there are methods to fixing this data or since the sensitivity is very high then I can move forward with the model.

Thank you.

I am creating a sentiment analysis model using Naive Bayes. When I test the model I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. So, I am wondering if there are methods to fixing this data or since the sensitivity is very high then I can move forward with the model.

Thank you.

I am creating a sentiment analysis model using Naive Bayes. When I test the model I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. So, I am wondering if there are methods to fixing this data or since the sensitivity is very high then I can move forward with the model.

Source Link

Naive Bayes - low accuracy, high sensitivity

I am creating a sentiment analysis model using Naive Bayes. When I test the model I get an average accuracy of 65%; however, the sensitivity of the model is much higher, 90%. So, I am wondering if there are methods to fixing this data or since the sensitivity is very high then I can move forward with the model.

Thank you.