ML & AI Camp – Quiz 1

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What school grade are you in? *

1 point

9th

10th

11th

12th

Let x = [0, 3, "Hello", 2, "World"]. What is the value of x[-1]?
*

1 point

"Hello"

"World"

What is the value of y after executing the following commands?

x = 3

y = x * 3 + x

1 point

Which class of ML problems does linear regression fall into? *

1 point

Supervised learning

Unsupervised learning

Consider a linear regression model y = 4 - 2x. In this model, *

1 point

Slope = 4, intercept = -2

Slope = 4, intercept = 2

Slope = -2, intercept = 4

Slope = 2, intercept = 4

Which of the following is true about MSE? *

1 point

It can be negative

Its graph is a parabola

It never equals 0

It predicts y from x

MSE for a model turned out to be L = (b - 2)^2. What is the optimal value of b? *

1 point

-1.5

-2

There is no optimal value

Let x1 = 1, y1 = 4, x2 = 0, y2 = 5 and assume we use a linear regression model y = 2x. Compute MSE. *

1 point

13.1

18.75

14.5

2.0

Which statement about gradient descent is true? *

1 point

It is an iterative optimization procedure

It always finds the global minimum of a function

Its learning rate is always equal to 1

It adjusts the parameters in the direction of the gradient of the function

Logistic regression is a *

1 point

Regression problem

Classification problem

Clustering problem

Visualization problem

Why do we use the sigmoid function in the logistic regression model? *

1 point

To make the model more complex

Otherwise, the model would make random predictions

To predict probabilities

So that we can use gradient descent to train it

Why does binary logistic regression fail on the XOR problem? *

1 point

Classes cannot be separated with a single line

It is not a classification problem

There are more than two classes

It fails on any logic gate problem by construction

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