Heart disease prediction by exploring different models, and feature importance visualization
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Updated
Mar 20, 2021 - Python
Heart disease prediction by exploring different models, and feature importance visualization
HERALD: An Annotation Efficient Method to Train User Engagement Predictors in Dialogs (ACL 2021)
Migration networks and housing prices analysis and ML tools
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation (ACL 2020)
Reference implementation of the paper Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
API backend to deploy a machine learning model to the web
API for ShapEmotionsCorrection project
Reference implementation of the paper Redundancy-aware unsupervised ranking based on game theory - application to gene enrichment analysis
Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models
Experimental toolbox for quantum Shapley values.
This is a visual and interactive part of a bigger Adults project. Income prediction is based on Random Forest model. Front part is created with dash framework
Analysis of baseball stats using ML w/ feature explainability
[IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning
A radiomic interpretation tool based on Shapley values
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
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