The coefficient of determination is a complex idea based on the statistical analysis of data models.
The coefficient of determination is used to explain how much variability of one factor can be caused by its relation to another factor.
– This factor is commonly known as the R-square (or R2) and is sometimes referred to as the “degree of fit”.
This score is presented as a value between 0.0 and 1.0, where a value of 1.0 indicates a perfect fit and thus is a very robust model for future predictions, and a value of 0.0 indicates that the model does not can accurately model the data. generally.