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ashishyadav24092000 / ParkinsonDetection_LogisticRegression

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This is same problem which is solved in https://github.com/ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER project. But here we have used Logistic Regression instead of XGBClassifier to classify the Statuses as 0 or 1 i.e. Parkinson positive or negative. And clearly we can see that how our Accuracy suddenly dropped from 95% to 84% as we m…

numpy solver logistic pandas accuracy preprocessing liblinear parkinson sklearn-library newton-cg clasificat
  • Updated Feb 10, 2022
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