Wine_Classification
A Machine Learning program to classify Wine based on various attributes.
In this project, I have used UCI dataset to predict wine upon its different attributes.
Here below is more detailed information about this project.
DataSet Details
UCI dataset link: Wine Data Set
Attributes: 13
Class: 3
Missing Values: No
Attribute Characteristics: Integer, Real
Number of Instances: 178
Associated Tasks: Classification
Model
The model used in the repository is Linear Discriminant Analysis.
Split Ratio: 0.20 (80% test, 20% test)
Model Accuracy: 0.972
I have even tested other models and below are the accuracy score of each mentioned with their names:
Logistic Regression: 0.916
Decision Tree Classifier: 0.861
K Neighbors Classifier: 0.777
GaussianNB: 0.962
SVC: 0.916