A Deep Dive into Model Evaluation This repository contains the code, data, and presentation for an end-to-end machine learning project focused on detecting fraudulent bank transactions. The project ...
Automate the process of grouping thousands of search queries into coherent topics for faster, more scalable content planning.
Background Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic ...
This project reproduces Netayawijit, Chansanam & Sorn-In (2025), Healthcare 13, 2588 — "Interpretable Machine Learning Framework for Diabetes Prediction: Integrating SMOTE Balancing with SHAP ...
Class imbalance was addressed by applying SMOTE combined with random undersampling to the training set only. Seven machine learning algorithms were evaluated using the same selected predictors: ...
For Logistic Regression, the focus was on the regularization parameter C (range 0.01–100), with the optimal value determined as C = 1.0. For SVM, Random Forest, XGBoost, and LightGBM, core parameters ...
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