Several features will be used to classify the quality of wine, we need to analyse all the features with the help of regression and classification and come with the best algorithm.
Volatile acidity : Volatile acidity is the gaseous acids present in wine.
Fixed acidity : Primary fixed acids found in wine are tartaric, succinic, citric, and malic
Residual sugar : Amount of sugar left after fermentation.
Citric acid : It is weak organic acid, found in citrus fruits naturally.
Chlorides : Amount of salt present in wine.
Free sulfur dioxide : So2 is used for prevention of wine by oxidation and microbial spoilage.
Total sulfur dioxide : total S02
pH : In wine pH is used for checking acidity
Density : Density
Sulphates : Added sulfites preserve freshness and protect wine from oxidation, and bacteria.
Alcohol : Percent of alcohol present in wine.
Concluion
From the above shown barplot and df_reg matrix it is clear that SVC (Support Vector Classifier) is performing best with the 83% accuracy score.