Wine Feature Importance and Quality Prediction: A Comparative Study of Machine Learning Algorithms with Unbalanced Data.
Siphendulwe ZazaMarcellin AtemkengSisipho HamlomoPublished in: SAFER-TEA (2023)
Keyphrases
- machine learning algorithms
- quality prediction
- unbalanced data
- feature importance
- feature selection
- random forest
- decision trees
- image quality
- machine learning
- training data
- learning algorithm
- benchmark data sets
- support vector machine
- learning problems
- machine learning methods
- random forests
- learning tasks
- ridge regression
- semi supervised
- naive bayes
- relevance feedback
- class distribution
- misclassification costs
- text classification
- standard svm
- transfer learning
- feature set
- image data
- feature space
- data sets