Which of the following statements a), b) or c) is false? A) Among the many metrics for regression estimators is the model's coefficient of determination, which is also called the R² score. B) To calculate an estimator's R² score, use the sklearn.metrics module's r2_score function with the arrays representing the expected and predicted results, as in: In [44]: from sklearn import metrics In [45]: metrics.r2_score(expected, predicted) Out[45]: 0.6008983115964333 C) R² scores range from 0.0 to 1.0 with 1.0 being the best. An R² score of 1.0 indicates that the estimator perfectly predicts the independent variable's value, given the dependent variable(s) value(s). An R² score of 0.0 indicates the model cannot make predictions with any accuracy, based on the independent variables' values. D) All of the above statements are true.

Question

Quizplus · Accepted Answer

The Answer of Which of the following statements a), b) or c) is false? A) Among the many metrics for regression estimators is the model's coefficient of determination, which is also called the R² score. B) To calculate an estimator's R² score, use the sklearn.metrics module's r2_score function with the arrays representing the expected and predicted results, as in: In [44]: from sklearn import metrics In [45]: metrics.r2_score(expected, predicted) Out[45]: 0.6008983115964333 C) R² scores range from 0.0 to 1.0 with 1.0 being the best. An R² score of 1.0 indicates that the estimator perfectly predicts the independent variable's value, given the dependent variable(s) value(s). An R² score of 0.0 indicates the model cannot make predictions with any accuracy, based on the independent variables' values. D) All of the above statements are true.

Which of the Following Statements A), B) or C) Is