lime
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This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techn…
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Mar 30, 2021 - Jupyter Notebook
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Jan 14, 2023 - Python
Bengali Misogyny Identification with Deep Learning and LIME.
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Feb 8, 2024 - Jupyter Notebook
client subsection to a term deposit
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Mar 28, 2024 - Jupyter Notebook
Classify Terrier dog breeds and explain the model predictions with Explainable AI
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Mar 25, 2022 - Jupyter Notebook
Interpretability of Image Keras Models
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Oct 27, 2019 - Python
TIC is a library that acts as a Toolbox for Interpretability Comparison.
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Dec 26, 2022 - Python
Comparison between LIME and SHAP
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Nov 11, 2020 - Jupyter Notebook
Cardiovasular Disease Detection using Naive Bayes, Logistic Regression, Random Forest & Support Vector Machine, while comparing the Naive Bayes models with the rest. LIME was also used to explain the predictions of the model.
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Dec 13, 2023 - Jupyter Notebook
Deep learning solution for explaining and detecting emotions in advertisement videos.
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Mar 24, 2023 - Python
In this repository you will fine explainability of machine learning models.
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Feb 17, 2023
Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet
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May 20, 2024 - Jupyter Notebook
Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'
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Sep 9, 2024 - Python
Implementation of "LIME: Local Interpretable Model-agnostic Explanations" on fingers kaggle dataset to identify which part of hand used by model to make decisions
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Jun 29, 2023 - Jupyter Notebook
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