Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models.
Eric IngramFurkan GursoyIoannis A. KakadiarisPublished in: BDCAT (2022)
Keyphrases
- machine learning
- machine learning methods
- prediction accuracy
- high accuracy
- probabilistic model
- decision trees
- computational cost
- computer vision
- statistical model
- machine learning algorithms
- learning problems
- parameter estimation
- knowledge acquisition
- learning models
- knowledge representation
- models built
- machine learning approaches
- computational models
- predictive power
- machine learning models
- neural network
- data driven approaches
- statistical models
- error rate
- model selection
- text classification
- information extraction
- classification accuracy
- artificial neural networks
- pattern recognition
- artificial intelligence