Measures Seven popular ML models (Random Forest, Decision Tree, Logistic ... and multinomial deviance loss functions, with a learning rate of 0.1 and 100 boosting stages. All these algorithms were ...

Multinomial Naïve Bayes is a good match for our data for several reasons: There are several other machine learning models including logistic regression, support vector machines, random forests ...

Multinomial logistic regression achieved 81.2% accuracy in predicting reporting tendencies based on event significance and source characteristics. Bayesian inference highlighted significant tendencies ...

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...

The identified factors were then included in a multivariate logistic regression analysis to examine their impact on user comment attitudes. Results: Health professionals were the primary source of ...

Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States ...