/Wine-Quality-Predictor

Predicting wine quality using different models

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Wine Quality Predictor

Predicting wine quality using different models :

  • Linear Regression
  • Decision Tree Regressor
  • Random Forest Regressor
  • SVM Regressor


Features used are :
  • fixed acidity
  • volatile acidity
  • citric acid
  • residual sugar
  • chlorides
  • free sulfur dioxide
  • total sulfur dioxide
  • density
  • pH
  • sulphates
  • alcohol

Learning Curves for all the four models have been plotted and bias-variance trade-off has been analyzed.