Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

The ELR model surpassed the current Linear regression model (accuracy=94.7%, MAPE=0.052, MPE=0.486, MAE=0.029, and RMSE=8.383) with accuracy=98.4%, MAPE=0.016, MPE=0.308, MAE=0.016, and RMSE=3.383.

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.

In this paper, we proposed a framework, called Mulr4FL, for fault localization using a multivariate logistic regression model that combined both static and dynamic features collected from the program ...