Untitled Quiz

Which of the following is not the part of Design Thinking a 5 stage Process?

• Empathize

• Sympathize

• Prototype

• Define

A _______________ is a project where students must research a topic independently to get a deep understanding of the subject matter.

• AI Model

• culminating report

• senior report

• capstone

Mean Square Error (MSE) is the most commonly used regression loss function. MSE is the sum of Squared distance between our target variable and predicted values. Identify one feature of MSE:

• It is sensitive to outliners

• It is used on data, conditioned on the output variables

• It is good to use if the target data is normally distributed around a median value.

• It should be compared with Mean Absolute Error

In problem decomposition:

i. Understand the problem and then restate the problem in your own words.

ii. Gather all simple facts to create a complicated piece

iii. Break larger units into simpler ones.

iv. Code one small unit at a time.

Which of the following is true?

• i and ii

• i, iii and iv

• ii and iv

• i, ii, iii and iv

For AI techniques to be applied to a dataset the data must have a

• association

• relationship

• pattern

• Either a or b

Assertion (A): The Train-Test procedure is appropriate when there is a sufficiently large dataset available.

Reason (R): The larger the dataset the more accurate is the prediction.

• (A) and (R) are true and (R) is the correct explanation of (A)

• (A) and (R) are true but (R) is not correct explanation of (A)

• (A) is true but (R) is false

• (A) is false but (R) is true

An optimum AI Model should have a____________ value less than 180.

• Mean Square Error

• Mean Absolute Error

• Quantile loss

• Root Mean Square Error

Determining whether a credit card transaction is fraudulent or not it uses ___________ technique.

• Decision Tree

• Classification

• Regression

• Clustering

The train-test-split is a technique for evaluating the performance of a machine learning algorithm. Which machine learning algorithms can it be used for?

i. Regression ii. Clustering

i. Classification ii. Deep Learning

• Only i

• Only ii

• Both i and iii

• Both ii and iv

Which of the following is NOT a Classification Loss function.

• Log Loss

• Hinge Loss

• Exponential Loss

• Mean Absolute Error