Wine-Quality-Prediction

Introduction

Wine Quality Prediction Model (ML) ExtraTreesClassifier 88% Accuracy. Check Dataset For Dataset.rar , Dataset From www.Kaggle.com

Summary About Dataset

Input variables (based on physicochemical tests):

1 - Fixed acidity

2 - Volatile acidity>

3 - Citric acid

4 - Residual sugar

5 - Chlorides

6 - Free sulfur dioxide

7 - Total sulfur dioxide

8 - Density

9 - PH

10 - Sulphates

11 - Alcohol

Output variable (based on sensory data):

12 - Quality Of The Wine (score between 0 and 10)

Technology

Pandas, Numpy, Matplotlib, seaborn, Scikitlearn, imblearn