Data Leakage - When information available in the context of model training is unavailable in deployment setting
Feature Importance Algorithm - Describes magnitude of dependance a model has on a feature
FairML can be used to measure model's dependence on its inputs
1. Seeing Data - glyphs, correlation graphs, 2-d projections, partial dependence plots, residual analysis
2. Related Models - OLS regression : penalized regression, generalized additive models, quantile regression
3. Understanding complex learning models: Surrogate modes, Local Interpretable Model agnostic explanations (LIME) , LOCO, Tree Interpreter.
References & Further Reading:
http://blog.fastforwardlabs.com/2017/03/09/fairml-auditing-black-box-predictive-models.html
https://www.oreilly.com/ideas/ideas-on-interpreting-machine-learning
http://www.nature.com/news/can-we-open-the-black-box-of-ai-1.20731
https://homes.cs.washington.edu/~marcotcr/blog/lime/
Feature Importance Algorithm - Describes magnitude of dependance a model has on a feature
FairML can be used to measure model's dependence on its inputs
1. Seeing Data - glyphs, correlation graphs, 2-d projections, partial dependence plots, residual analysis
2. Related Models - OLS regression : penalized regression, generalized additive models, quantile regression
3. Understanding complex learning models: Surrogate modes, Local Interpretable Model agnostic explanations (LIME) , LOCO, Tree Interpreter.
References & Further Reading:
http://blog.fastforwardlabs.com/2017/03/09/fairml-auditing-black-box-predictive-models.html
https://www.oreilly.com/ideas/ideas-on-interpreting-machine-learning
http://www.nature.com/news/can-we-open-the-black-box-of-ai-1.20731
https://homes.cs.washington.edu/~marcotcr/blog/lime/
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