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Sefik Ilkin Serengil

Code wins arguments

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Tag: explainable ai

Feature Importance in Logistic Regression for Machine Learning Interpretability

Feature importance is a common way to make interpretable machine learning models and also explain existing models. That enables to … More

explainable ai, interpretability, logistic, sigmoid

Interpretable Machine Learning with H2O and SHAP

Previously, we’ve made explanations for h2o.ai models with lime. Lime enables questioning for made predictions of built models. Herein, SHAP … More

explainable ai, h2o, interpretability, lime, shap

Explaining h2o models with Lime

Interpretability and accuracy inversely proportional concepts. Models offering higher accuracy such as deep learning or GBM would be lowly interpretable. … More

explainable ai, h2o, interpretability, lime, python

How SHAP Can Keep You From Black Box AI

Machine learning interpretability and explainable AI are hot topics nowadays in the data world. Just working of a model will … More

explainable ai, interpretability, keras


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