Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df >>> import pandas as pd >>> df = pd.read_csv('dataset.csv') >>> print(df) | Age | Job | Marital | Education | Balance | Housing | Contact | |---|---|---|---|---|---|---| | 21 | unemployed | married | secondary | 77387 | no | telephone | | 49 | management | married | tertiary | 2037 | no | nan | | 72 | self-employed | married | tertiary | 132 | no | cellular | | 31 | blue-collar | married | secondary | 298 | yes | nan | | 28 | admin | single | secondary | 2831 | yes | nan | | 39 | technician | single | secondary | 15 | yes | cellular | | 32 | blue-collar | married | primary | 131 | yes | nan | | 59 | management | married | tertiary | 5314 | no | cellular | | 27 | technician | single | secondary | 155 | yes | cellular | | 47 | blue-collar | married | primary | 259 | no | cellular | Table 1: Banking Data Based on the above data, answer the given subquestions. Which of the following options can be used to compute the median of the Balance column for each category in the Marital feature?

(A) Option figure from the original question paper

(D) Option figure from the original question paper

(B) Option figure from the original question paper

(C) Option figure from the original question paper

Machine Learning Practice · Quiz 1 · 23 Feb 2025 · January 2025 term

Question 14: Consider the given Table 1: Banking data for the given s…

Question 14

+2 marksOne or more correct options

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df

python

1>>> import pandas as pd
2>>> df = pd.read_csv('dataset.csv')
3>>> print(df)

Age	Job	Marital	Education	Balance	Housing	Contact
21	unemployed	married	secondary	77387	no	telephone
49	management	married	tertiary	2037	no	nan
72	self-employed	married	tertiary	132	no	cellular
31	blue-collar	married	secondary	298	yes	nan
28	admin	single	secondary	2831	yes	nan
39	technician	single	secondary	15	yes	cellular
32	blue-collar	married	primary	131	yes	nan
59	management	married	tertiary	5314	no	cellular
27	technician	single	secondary	155	yes	cellular
47	blue-collar	married	primary	259	no	cellular

Table 1: Banking Data

Based on the above data, answer the given subquestions.

Which of the following options can be used to compute the median of the Balance column for each category in the Marital feature?

Select all that apply.

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Question 14 of 20 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 23 Feb 2025, in the January 2025 term (IIT M DIPLOMA AN EXAM QDD2 23 Feb 2025). It carries 2 marks.

Question 14: Consider the given Table 1: Banking data for the given s…

Question 14

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