The key idea is to use the strength of Linear Models to improve the nonparametric learning ability of tree-based algorithms. Firstly, a Linear Model is fitted on the whole dataset ... and Scikit-Learn ...

The effective instantaneous frequencies from intrinsic mode functions decomposed by HHT are implemented by the multiple-linear regression model to evaluate heart rates before the frequencies were ...

Soil samples were randomly separated into modeling and validation data sets, respectively ... two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model.

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 ...

In this paper, the idea of using multiple correlation measures is adopted for filter ... According to four common classifiers and a medical examination dataset, the experiments can be developed in ...