GitHub

export_lgbm_scores.py

from ml.training.labels import as_float, rows_for_dates from ml.training.lgbm_ranker import DEFAULT_LABEL_GAIN, train_model_result from ml.training.train_lgbm_rank import parse_label_gain, ...
GitHub

Tashi-Stirewalt/Explainable-ML-Malware-Detection

Closing the Interpretability Gap: Explainable ML-Based Malware Detection for Defensive Cyberspace Operations This repository contains the full source code, trained model scripts, and evaluation ...
IEEE

XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations

Abstract: Obesity remains a critical global health challenge, necessitating early risk assessment to guide preventive measures and mitigate potential complications. While various research endeavors ...