Drag and drop from the options below to print "Hello".

Question

class A {
public void print() {
System.out.println("A");
}
}
class B {
public static void main(String[ ] args) {
object = A() {
@Override public void () {
System.out.println();
}
};
object.print();
}
}

Answer 1

A,new,print,hello

Answer 2

A object = new A() {
@Override public void print() {
System.out.println("Hello");
}

Answer 3

class A {
public void print() {
System.out.println("A");
}
}
class B {
public static void main(String[ ] args) {
object = A() {
@Override public void () {
System.out.println();
}
};
object.print();
}

Answer 4

Drag and drop to scale features for the wine dataset:

from sklearn.preprocessing
import StandardScaler
scale = StandardScaler()
scale.fit(X)
X_scaled =transformscale.(X)

Answer 5

Drag and drop to complete the pre-processing step to standardize the wine data.

from sklearn.preprocessing
import StandardScaler
X = wine[['alcohol', 'total_phenols']]
scale = StandardScaler()
scale.fit(X)
X_scaled = scale.transform(X)

Answer 6

String
var