Research under classical statistics often relies on precise, determinate data to estimate population parameters. However, in certain situations, data may be indeterminate or imprecise. Neutrosophic ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Scholars trained in the use of factorial ANOVAs have increasingly begun using linear modelling techniques. When models contain interactions between continuous variables (or powers of them), it has ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

ABSTRACT: As extremely important methods, Lp regression methods have attracted the attention of either theoretical or empirical researchers all over the world. As special cases of that, quantile and ...

Add a description, image, and links to the mean-squared-error topic page so that developers can more easily learn about it.

Abstract: The aim of the study is to predict the customer spending score using machine learning algorithms and the objective of this research is to improve the ...

Simple Linear Regression on Swedish Auto Insurance Dataset and Pizza Franchise Dataset and the calculation of corresponding Root Mean Squared Error.