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TSM_Jan29_2

Total questions: 8

Worksheet time: 5mins

Name
Class
Date
1.

Which is a better model?

a)

Random Forest

b)

Logistic Regression

2.

Sheldon is working on a model that classifies every person as nerdy and serious. He is using 5 different probability thresholds. How many AUC and F1 scores are possible?

a)

(1,5)

b)

(5,1)

c)

(1,1)

d)

(5,5)

3.

X is a metric that could be used for monitoring models in real time. This metric is used to decide when to refresh the model.

(a)  

4.

Let's assume hotstar is working on a realtime win percentage predictor after every delivery in t20 matches by taking feedback from previous deliveries. Which of the following systems is ideal?

a)

Machine Learning System

b)

AI System

5.

BuyBuy, a famous retailer, is building an email campaign model that has a lift of 1.25. If they send 10000 random emails, 800 customers respond. How many customers would respond if they adopt the model strategy?

(a)  

6.

A heterogeneous node has a higher gini value.

a)

True

b)

False

7.

Huber, a taxi aggregator, has a model to predict whether a driver will be online in the next 1 hour at any given point in time. The model predicts 720 drivers who were actually offline as online. Which of the below fits best?

a)

False Negatives

b)

False Positives

c)

True Positives

d)

True Negatives

8.

Coolstar is a famous OTT platform. They record the number of seconds spent on viewing content in the 1st week of joining, 2nd week of joining and so on till the 52nd week of joining. But many new users do not have viewing content for 52 weeks and hence have missing values. What type of missing value is this?

a)

Missing not at random

b)

Missing completely at random

c)

Missing at random

d)

Missing partially at random