What is Gini impurity? A. Gini impurity is a way to measure the purity of a collectlon of observations in a rectargle (set). If a rectangle is very maxed is is "impuro" and the Gini impuray is tigh. As a rectarge bectmes more pure, that is, it contains more membets of one class than another, the cinl impurify decreases. B. Gini impuriay ia a meabure of variability that regresents the amount of dispersion in a datase. How spread out are the values? While a measure of centrai tencency dencribes the typlcal value, measures of Giai impurity define how far away the data points tend to tall from the centec. A low dispersion indicates that the data points tend to be clusteced tighty around the center. High dispersion signifies that they tend to fall further away. c. Gin impurity is a stalistcal measure of how close the data are to the titod regression ine. It is also known as the coefficient of detarmination, or the coefficient of mutipie determinasin for muliple regression. A Ginl impurity of 100% indicates that the model explains all the variabilicy of the recponse data around its mean. D. Gini impurity is a computation used to indicate the extent of deviation for a group as a whole