A weighted sum of basis functions or splines is calleda.Decision splinesb.regression splinesc.logistic splines

A weighted sum of basis functions or splines is called Regression Splines.

Here's a step-by-step explanation:

1. Basis functions are a set of functions used in the mathematical representation of data. They are used to simplify the process of approximation or interpolation of data.

2. Splines are a type of mathematical function used in interpolation. They are piecewise-defined, and are often used in computer graphics and numerical analysis.

3. A weighted sum of these basis functions or splines is a way of combining them, where some functions contribute more to the final result than others. The weights determine the contribution of each function.

4. This weighted sum is referred to as Regression Splines. Regression splines is a term used in statistics to describe a type of model where splines are used to model the relationship between variables.