Interpretability Versus Accuracy: A Comparison of Machine Learning Models Built Using Different Algorithms, Performance Measures, and Features to Predict E. coli Levels in Agricultural Water.
Daniel L. WellerTanzy M. T. LoveMartin WiedmannPublished in: Frontiers Artif. Intell. (2021)
Keyphrases
- machine learning
- models built
- learning algorithm
- machine learning algorithms
- classification models
- benchmark datasets
- incomplete data
- feature extraction
- classification accuracy
- prediction accuracy
- feature vectors
- feature selection
- data sets
- classification algorithm
- change detection
- feature selection algorithms
- uci machine learning repository
- neural network