Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model.
Robbie T. NakatsuPublished in: HCI (37) (2024)
Keyphrases
- regression model
- machine learning
- model selection
- artificial intelligence
- regression methods
- regression analysis
- generalized linear models
- prediction model
- survival analysis
- linear model
- multivariate regression
- support vector regression
- locally weighted
- linear regression model
- kernel regression
- independent variables
- explanatory variables
- logistic regression models
- generalized linear
- response variable
- learning algorithm
- cross validation
- machine learning algorithms
- data mining
- knowledge representation
- regression trees
- regression method
- gaussian process
- decision trees
- prediction intervals
- feature selection
- learning tasks
- interval valued data
- multiple linear regression
- group lasso
- training data
- support vector machine
- text mining
- learning problems
- text classification