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text prediction analysis
![lambamanika07](https://us.v-cdn.net/6030995/uploads/userpics/725/n7LK78G5RT1D9.jpg)
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The performance result of text mining model is 79% accuracy model by naive bayes and 83% by SVM (Linear). Is this a god model?
If not can someone please help me to how to improve it. Thank you. A fast response will be appreciated.
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Hi @lambamanika07,
To improve the performances of your model, you can optimize it using the Optimize Parameters operator and /or
try to train other predictive models.
Pavithra_Rao : Automatic model selection and optimization .
This tool (to adapt to your own project) select the best model among several optimized models.
And to conclude and to answer to your question "Is this a god model?", I would quote Albert Einstein : "All is relative..."
I hope it will be helpful.
Regards,
Lionel
IF those are your initial results, then I'd say you have a very good model to start with. I would do what @lionelderkrikor suggests and try optimization. You might even want to try some enesmbling methods, like Voting or Stacking to combine the SVM and NB.