Also known as: R squared
R-squared — регрессионная метрика, показывающая, какая часть вариации целевой переменной объясняется признаками модели. Значения находятся в диапазоне от 0 до 1, где более высокие значения обычно означают, что модель объясняет большую долю наблюдаемой дисперсии.
A regression metric indicating how much variation in a label is due to an individual feature or to a feature set. R-squared is a value between 0 and 1, which you can interpret as follows: - An R-squared of 0 means that none of a label's variation is due to the feature set. - An R-squared of 1 means that all of a label's variation is due to the feature set. - An R-squared between 0 and 1 indicates the extent to which the label's variation can be predicted from a particular feature or the feature set. For example, an R-squared of 0.10 means that 10 percent of the variance in the label is due to the feature set, an R-squared of 0.20 means that 20 percent is due to the feature set, and so on. R-squared is the square of the Pearson correlation coefficient between the values that a model predicted and ground truth.