general model, including all samples (n = 120, 90 for modeling and 30 for validation). In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: ...

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 ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

Abstract: Existing liner power flow ... model is compared and analyzed against other LPF models. The results indicate that the proposed model has the ability to handle non-smooth constraints, with ...

Why? Read the post and find out. For electronics, linear regression has many applications, including interpreting sensor data. You might also use it to generalize a batch of unknown components ...