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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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F-Score (F1-Score)
Constant Features
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Target Drift
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Generative AI Measures in China
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Artificial Intelligence and Algorithmic Fairness Initiative
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National Strategy for Artificial Intelligence #AIFORALL: NITI Aayog
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Precision-recall curve
Confusion Matrix
F score
ROC Curves and ROC AUC
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