GitHub

Explainable Student Dropout Prediction using XGBoost & SHAP

One of the main problems with online learning is that students are likely to drop out at a steady pace over time rather than all at once. Early identification enables schools to offer early assistance ...
IEEE

Predicting Ship Waiting Times Using Machine Learning for Enhanced Port Operations

Abstract: Port congestion and prolonged ship waiting times pose challenges for global trade and increase operational costs and inefficiencies. In this study, a novel machine learning-based predictive ...
C&EN

Interpretable XGBoost-SHAP Model Predicts Nanoparticles Delivery Efficiency Based on Tumor Genomic Mutations and Nanoparticle Properties

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GitHub

Using exact Hessian for multinomial logistic #12278

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