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:
The challenge of cost control
The challenge of competence
The challenge of reduced system delivery times.
Explanation:The Challenge of Cost control is a major challenge affecting the software engineering in the 21st century,the cost of Microchips and other hardware are constantly rising.
The challenge of competence is another major challenge affecting software engineering in the 21st century,as most software engineers lack the required competence to handle some of the issues facing softwares.
The challenge of reduced system delivery times is a major challenge likely to affect software engineering in the 21st century,as people required the software to be available in the shortest possible time.
The risk vulnerability assessment is the answer
There are some function which can be performed with database but not with a spread sheet, these functions include:
1. Enforcement of data type.
2. Support for self documentation.
3. Defining the relationship among constraints in order to ensure consistency of data.
Answer:
The answer is below
Explanation:
An OLTP (Online transaction processing) database is a database that allows for quick transaction processing. It involves inserting, deleting, updating data in the database.
OLTP has many drawbacks like if the system fails, all transactions are going to have problems. Also, since multiple users are allowed to access the data, it makes it prone to hackers.
The solution to the problems associated to the OLTP database is the OLAP (online analytical processing) database.
The OLAP systems allow users to analyze database information from multiple database systems at one time thereby allowing analysis for business decisions.