vjrahil/predicting-wine-quality-using-scikit-learn

Builded a model which will help in classifying the wines with different composition to different genre of people.Project help you master the workflow of model building.

Predicting-wine-quality-using-scikit-learn

Builded a model which will help in classifying the wines with different composition to different genre of people.Project help you master the workflow of model building.

Accuracies for different models

Accuracies based on different classifier were found out to be: 1 - Naive_bayes = 96.14%
2 - KNN = 97.73%
3 - SVM(rbf) = 96.30%
4 - SVM(linear) = 97.74%
5 - Decision Tree = 93.33%
6 - RandomForest = 93.07%
7 - Logistic Regression = 97.14%

-->Accuracies were taken out by testing each classifier 5 times on dataset and taking the average of it.
-->Best Classifier for this dataset is ---> SVM(Linear).
-->After applying grid search on svm(linear) classifier we get accuracy = 97.74% /
-->For dimensionality reduction I have used principle component analysis algorithm(Just for pictorial representation of different classifiers in 2-D for better understanding).