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Explainable AI

LIME

LIME approach attempts to comprehend the model by varying the input of data samples and observing how the predictions change.

LIME (Local Interpretable Model Agnostic Explanations) puts together a surrogate model on a small dataset. The approach attempts to comprehend the model by varying the input of data samples and observing how the predictions change. LIME tweaks the feature values for a single data sample and tracks the impact on the output.

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Internet Information Service Algorithm Recommendation Management Regulations
Generative AI Measures in China
Provisions on the Administration of Deep Synthesis of Internet-based Information Services
Artificial Intelligence and Algorithmic Fairness Initiative
The EU AI Act
Artificial Intelligence Risk Management Framework (AI RMF 1.0)
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Top-k
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Jensen-Shannon(JS) Divergence
Population Stability Index (PSI)
Kullback-Leibler (KL) divergence
ML Audit
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Data Monitoring
ML Observability
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Model confidence score
Model threshold
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LIME
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Recall/ Sensitivity or True Positive Rate
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Precision-recall curve
Confusion Matrix
F score
ROC Curves and ROC AUC
Data Drift
Model Drift