What is Gini impurity? Question content area bottom Part 1 A. Gini impurity is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. A Gini impurity of 100% indicates that the model explains all the variability of the response data around its mean. B. Gini impurity is a computation used to indicate the extent of deviation for a group as a whole. C. Gini impurity is a way to measure the purity of a collection of observations in a rectangle (set). If a rectangle is very mixed it is "impure" and the Gini impurity is high. As a rectangle becomes more pure, that is, it contains more members of one class than another, the Gini impurity decreases. D. Gini impurity is a measure of variability that represents the amount of dispersion in a dataset. How spread out are the values? While a measure of central tendency describes the typical value, measures of Gini impurity define how far away the data points tend to fall from the center. A low dispersion indicates that the data points tend to