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Interpretable ModelESG Holist
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87% Informative
Local Interpretable Model-Agnostic Explanation ( LIME ) is another technique commonly used in financial studies to improve the explainability of AI -based decision-making.
LIME works by approximating the predictions of black-box AI models with simpler, more interpretable models.
Case-Based Reasoning is an AI approach that solves new problems based on solutions to similar past problems.
Users can understand the rationale behind the decision by comparing it to previously resolved instances.
Results explanation based on probability provides a quantitative assessment of the likelihood that the current case falls into a particular category, such as default or non-default, by calculating the probability weights of the most similar cases.
Together, these explanations facilitate a clearer understanding of the model’s predictions and bolster user confidence in the recommendations.
VR Score
94
Informative language
97
Neutral language
57
Article tone
formal
Language
English
Language complexity
69
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
2
Source diversity
1
Affiliate links
no affiliate links