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TEST

Total questions: 11

Worksheet time: 8mins

Name
Class
Date
1.

Logistic regression is mainly used for classification.

a)

TRUE

b)

FALSE

2.

Which of the following evaluation metrics CANNOT be applied in case of logistic regression output to compare with target?

a)

AUC-ROC

b)

Accuracy

c)

Logloss

d)

Mean squared error

3.

Given this confusion matrix, calculate the Overall Accuracy of the model? Leave your answer to 3 decimal points.

(a)  

4.

Standardisation of features must be performed before training a logistic regression.

a)

TRUE

b)

FALSE

5.

Words or phrases that describe logistic regression.

a)

binary

b)

non-linear activation function

c)

outputs are -1 and 1

6.

From the lecture notes, compute the odds ratio of churning for customers with One Year Contracts compared to customers without one. Leave your answer to 3 decimal points.

(a)  

7.

In the lecture notes, the logistic regression model predicts the rate of churn.

a)

TRUE

b)

FALSE

8.

Logistic regression is an unsupervised machine learning algorithm.

a)

TRUE

b)

FALSE

9.

Given this confusion matrix, calculate the Specificity of the model? Leave your answer to 3 decimal points.

(a)  

10.

What is odds ratio?

a)

The ratio of churn.

b)

The coefficients of the variables.

c)

The ratio of the probability of success to the probability of failure.

d)

The exponential of the coefficients of the variables.

11.

Choose an answer for (BLANK) at the end of the next sentence. In the workshop, we remove the variable one by one until (BLANK)

a)

we stop randomly.

b)

all variables are significant.

c)

correlation between variables are \ge 0.8.

d)

we reach our target of 12 variables.