The answer to this is C :D
Answer:
Compare the predictions in terms of the predictors that were used, the magnitude of the difference between the two predictions, and the advantages and disadvantages of the two methods.
Our predictions for the two models were very simmilar. A difference of $32.78 (less than 1% of the total price of the car) is statistically insignificant in this case. Our binned model returned a whole number while the full model returned a more “accurate” price, but ultimately it is a wash. Both models had comparable accuracy, but the full regression seemed to be better trained. If we wanted to use the binned model I would suggest creating smaller bin ranges to prevent underfitting the model. However, when considering the the overall accuracy range and the car sale market both models would be
Explanation:
The correct answer for your question is true, Hope this helps
Answer: Probability/impact risk matrix
Explanation: Probability/impact risk matrix is type of matrix that defines the probability as well as impact that depicts whether the risk is low ,high or moderate.
Impact matrix is sort of tool which helps in conversion of any plan into a action. Probability matrix help in defining the chances in defining the risk.The positioning of the impact value of risk is plotted on the vertical axis and performance value on the horizontal axis.
Thus probability/impact matrix is the correct tool for the problem mentioned in the question.
