Team 12 - White Wine Quality Project
Compare the results of 3 models: Two-Class Boosted Decision Tree, Two-Class Logistic Regression and Two-Class Neural Network model.
Job was to build a binary classification model to predict the quality of a given wine into high or low quality wine given its various properties.
In the data set the quality of wine is rated on a scale of 1 to 10.
“Group Data into Bins” module used to convert the ratings into a binary categorical variable for classification into high and low quality wines.
For this project, results compared between three models: a Two-Class Boosted Decision Tree model, a Two-Class Logistic Regression model, and a Two-Class Neural Network model.
