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### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [X] I have the link to my latest merged PR
### Latest Merged PR Lin…
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### Is this a unique feature?
- [X] I have checked "open" AND "closed" issues and this is not a duplicate
### Is your feature request related to a problem/unavailable functionality? Please describe.…
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https://homes.cs.washington.edu/~marcotcr/aaai18.pdf
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### Abstract
We introduce a novel model-agnostic system that explains the
behavior of complex models with high-precision rules calle…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Breast Cancer Type Detection using Explainable AI
:red_circle: **Aim** : The main objective of this pr…
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:red_circle: **Title** : Explainable AI on Cancer Dataset
:red_circle: **Aim** : Explainable AI means explaining the process behind an AI reaching to a conclusion. Here I have used the Explainable AI…
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### WHY
We need to reveal how the black-box model engine operates for user to understand and trust the systems (where they do not know the basis for the current outcomes and lack insight how it wor…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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## Detailed Description
The current solar forecasting model is a gradient boosted tree model, which can achieve high predictive accuracy but often lacks interpretability. It is proposed to eval…
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There is a recent paper which explains how to do explain_prediction for trees and tree ensembles, which they claim to be better than treeinterpreter-like measures: https://arxiv.org/pdf/1706.06060.pdf…
kmike updated
5 years ago
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## Abstract
- Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental
- if one plans to take action based on a prediction.
- when cho…
hon9g updated
5 years ago