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GitHub7mon
Classification and Evaluation with Naive Bayes and XGBoost in Python
This repository includes a Python script ... Parameters for XGBoost and Naive Bayes can be adjusted to optimize performance. Ensure the dataset is balanced or consider stratified sampling to avoid ...
GitHub6y
XGBoost Classification with Python and Scikit-Learn
XGBoost is an acronym for Extreme Gradient Boosting. It is a powerful machine learning algorithm that can be used to solve classification and regression problems. In this project, I implement XGBoost ...
IEEE2y
A GWO-XGBoost Machine Learning Classifier for Detecting Malware Executables
The suggested GWO-xgboost techniques offer 97.0% precision, 97.0% age F-degree, 0.029 Entropy value, 99.4% precision and 99.4% recall, 0.007 Flase positive cost, and 99.4% recall for the ...
Frontiers1y
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost
The ROC curve is constructed by plotting sensitivity ... from CAMDA. The XGBoost with text-based tabular features approach demonstrated here can be applied to other text processing and classification ...