Machine Learning

we basically used several binary classification methods to determine which one would be best suited to predict whether a particular wine is considered high quality or not. The four classification methods that we used are: 1) Random Tree Classifier method too 2) KNN (K Nearest Neighbor) 3) SVM (Support Vector Machine) 4) GridSearchCV Estimator best score

Wine Quality