-
- Flood Susceptibility Mapping (FSM) involves identifying areas prone to flooding to mitigate future floods and assess susceptibility.
- Floods are among the most destructive natural disasters, causi…
-
### Roadmap URL
https://roadmap.sh/prompt-engineering
### Suggestions
The lack of interpretability in models is primarily reflected in the following aspects:
- Model Complexity: Many modern mach…
-
### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Hi @UTSAVS26 , I want to add this
Machine Learning Snippets: Hyperparameter Tuning & Fe…
-
I propose adding a Model Evaluation and Benchmarking System to ML Nexus to help users assess their model performance on standardized datasets and compare it against benchmarked scores. This feature wo…
-
# Enhancement: Add Uncertainty Metric to Naive Bayes Classifier
## Description
To improve the reliability and interpretability of our Naive Bayes classifier, we should implement an uncertainty met…
-
||link|
|----|---|
|paper| [StrategyAtlas: Strategy Analysis for Machine Learning Interpretability](https://ieeexplore.ieee.org/abstract/document/9695246) |
-
## Le speaker
{ Christophe Regouby, data-scientist chez Airbus }
* Twitter handle:
## Sujet de votre conférence
{ Show me your model ! Machine-learning interpretability plots explained } / { M…
-
It would be nice to have a description of how the output of this interpretability technique should be understood, a detailed description of the algorithm, or an external link.
---
#### Document De…
-
### Discussed in https://github.com/ombhojane/explainableai/discussions/60
Originally posted by **ombhojane** October 4, 2024
Use the explainableai package in new, creative ways. Show what it…
-
**Is your feature request related to a problem? Please describe.**
While cuML provides a powerful suite of GPU-accelerated machine learning algorithms, there is a growing need for comprehensive model…