Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models.
Donald J. KridelJacob DineenDaniel R. DolkDavid G. CastilloPublished in: CoRR (2024)
Keyphrases
- prediction model
- probabilistic model
- predictive model
- statistical model
- hybrid model
- prior knowledge
- autoregressive
- statistical models
- computational model
- computational models
- experimental data
- mathematical models
- modeling method
- metamodel
- formal model
- linear regression
- hierarchical model
- generic model
- parameter estimation
- multiple models
- maximum likelihood
- financial time series
- models built
- modeling framework
- goodness of fit
- diffusion model
- social networks
- model fitting
- linear model
- learning models
- classification models
- neural network model
- mathematical model
- model selection
- em algorithm
- probability distribution
- artificial neural networks
- similarity measure