Model-Ananlysis-and-Red-Wine-Quality-Prediction

An attempt to study various ML models for predicting the quality of Red Wine using various performance measures.
A project for Machine Learning course (CS-503) done under supervision of Dr. CK Narayanan

Dataset

Kaggle Red Wine Quality Dataset is heavily biased towards 3 classes. Converted it into a two class dataset and performed binary classification.

ML Models used

• Decision Tree
• Random Forests
• Random Gradient Boost
• Support Vector Machine

Performance Measures

• Train Accuracy
• Test Accuracy
• F1-Score
• Precision Score
• Recall

For all details of feature selection, model analysis and results see notebook