• 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.