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Creating a SVM for achieving higher accouracy (98%)

Open theshredbox opened this issue 3 years ago • 2 comments
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Several methods show that ML techniques can show high accuracy levels ranging rom 90%- 97%. Since we have used RFR in the main branch, I'll be creating a SVM to show much higher accuracy. Also, I'll be improving the model by normalizing the training data which is a scaling feature process. I'll be further searching hyperparameters for improving the model.

I want to work on this issue under GSSoC 22.

theshredbox avatar Mar 02 '22 09:03 theshredbox

@theshredbox Issue has been assigned to you ! Kindly work on it.

freny24 avatar Mar 02 '22 09:03 freny24

Hi I have done this in an SVC model pull request #185 in which I have achieved 98% accuracy

nicolemd7 avatar Mar 05 '22 10:03 nicolemd7