Answer:
void main(){
string name;
cout<<"Enter Name";
cin>>name;
cout<<"Greetings " ;
cout<<name;
}
Explanation:
in main function we declared a variable called "name" .using cin we are reading the value into name and we are printing that name using cout.
Answer: Lattice-based, non-discretionary
Explanation: Lattice-based access control is a form of non-discretionary access control in which users are assigned a matrix of authorizations for particular areas of access. Lattice-based access control are usually used to restrict or define the level of authorization granted to a subject which may be an individual, organization or group or the that given to the object which may include applications and computers.It utilizes a non-discretionary approach whereby the defined access is uniformly enforced across all subjects and objects within the confines of an information system.
Answer:
b. obA.c 5;
d. ClassA.b=23;
f. ClassA.d = 99;
Explanation:
Java is a programming language for object oriented programs. It is high level programming language developed by Sun Microsystems. Java is used to create applications that can run on single computer. Static variable act as global variable in Java and can be shared among all objects. The non static variable is specific to instance object in which it is created.
#include <iostream>
using namespace std;
class CarCounter {
public:
CarCounter();
CarCounter(const CarCounter& origCarCounter);
void SetCarCount(const int count) {
carCount = count;
}
int GetCarCount() const {
return carCount;
}
private:
int carCount;
};
CarCounter::CarCounter() {
carCount = 0;
return;
}
CarCounter::CarCounter(const CarCounter &p){
carCount = p.carCount;
}
void CountPrinter(CarCounter carCntr) {
cout << "Cars counted: " << carCntr.GetCarCount();
return;
}
int main() {
CarCounter parkingLot;
parkingLot.SetCarCount(5);
CountPrinter(parkingLot);
return 0;
}
Sample output:
Cars Counted: 5
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:
