Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

This paper presents a sample-rebalanced and outlier-rejected k-nearest neighbor regression model for short-term traffic flow forecasting. In this model, we adopt a new metric for the evolutionary ...

Introducción al entorno de programación R y su aplicación en el análisis estadístico de datos. Predicting car prices using multiple linear regression. This project uses real-world automotive data to ...