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:
Answer:
It is an object. And this is because an object has the data and procedures that defines how it is going to react when it is going to be activated. The data is the details about the object, and it explains what the object actually is. And the procedures are the details of the functions that the particular objects can perform. Like for a hospital, data can be mentioning list of medication services they provide, and procedure can be like registering for any medication service, the complete process.
Explanation:
The answer is self explanatory.
