Multi-Class Prediction of Obesity Risk ML App
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Updated
Feb 25, 2024 - Jupyter Notebook
Multi-Class Prediction of Obesity Risk ML App
An implemetation for computing the Shapley value (in polynomial time) of matching games over bounded treewidth graphs.
Dilated Convolutional Autoencoder for univariate Time Series
Codes for reproducing the results of arXiv:2207.04157
Feature engineering, selection and XGBoost modeling for the Kaggle House Prices Regression competition.
AI applications can be found in various real-world systems, including vehicle system design and real-time car accident prediction. There is an increasing need to better explain AI-driven processes, especially in terms of potential legal disputes that might result from AI decisions. This analysis addresses this explainability and legal issues.
An academic research paper detailing an automatic method to generate customized explanations for the Shapley value.
Set of Jupyter notebooks and geospatial data developed by the MAPSPADES project to study desertification in the Algerian steppe using EO data.
Search vector Shapley in cooperative game
A python script to classify Titanic dataset (Survived and not Survived) by applying different Machine Learning Algorithms have been used such as Logistic Regression, SVM, KNN, Decision Tree and Random Forest.
This is a course project predicting the price of Bitcoin and some analysis of its variation.
A Two Stage Machine Learning Approach for 5G Mobile Network Augmentation through Dynamic Selection and Activation of UE_VBSs.
use XGBoost and Adaboost to predict heart disease and use SHAP to explain the potential factors behind the result.
2022 K-인공지능 제조 데이터 분석 경진대회(장려상)
API for ShapEmotionsCorrection project
Introducing "Causal Influence Decomposition" and trying it on an Echo State Network.
This repository contains all the Machine learning [RTA] project | implimentation part done by The Bright Kid
ML modeling and feature importance analysis conducted to identify/inform company practices related work interference due to mental health.
Rank nodes in an FBAS like Stellar using the Shapley value and other node centrality measures.
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