cs2008_2025T1_Q1_AN.pdf

Business Analytics(BA) · Quiz 1 · Jan 2025

Questions and published explanations below are available without starting a test. Some questions may not have a published solution yet.

Question 144 MCQ · 2.0 marks

Select the correct options from the following:

Posterior distribution for p is Beta(91, 11).
Posterior distribution for p is Beta(11, 91).
Posterior distribution for p is Bernoulli(0.1).
Posterior distribution for p is Bernoulli(0.9).

A published solution is not available for this question yet.

Question 145 NAT · 2.0 marks

Find the posterior mean. Enter the answer correct to two decimal places.

A published solution is not available for this question yet.

Question 147 MCQ · 2.0 marks

What is the primary risk of not performing a train-test split in a machine learning workflow?

The training time will increase.
The model might overfit the training data and perform poorly on new data.
The dataset may become unbalanced.
The model may fail to converge.

A published solution is not available for this question yet.

Question 148 MCQ · 2.0 marks

Why is data preprocessing necessary before using it for model building?

The data may contain outliers or missing values due to errors in data collection.
Features may have different scales, affecting model performance.
The dataset may include non-numerical features that need to be converted to numerical representations.
All of these

A published solution is not available for this question yet.

Question 149 MCQ · 2.0 marks

[[IMAGE:b04a8be4b3e9ca0f_3_0]]

It specifies the tolerance level for early stopping based on the change in the validation error.
It controls the learning rate of the stochastic regressor during training.
It determines the maximum number of iterations for the training process.
It defines the fraction of the validation set used for early stopping.

A published solution is not available for this question yet.

Question 150 MCQ · 2.0 marks

Suppose we want to transform features in a dataset using polynomial transformation. The sklearn API provides the functionality in which of the following modules?

sklearn.dataset
sklearn.model_selection
sklearn.preprocessing
sklearn.featureSelection
sklearn.featureExtraction

A published solution is not available for this question yet.

Question 151 MCQ · 3.0 marks

[[IMAGE:b04a8be4b3e9ca0f_4_1]]

1000
100
99
999

A published solution is not available for this question yet.

Question 152 MCQ · 3.0 marks

[[IMAGE:b04a8be4b3e9ca0f_5_2]]

[[IMAGE:b04a8be4b3e9ca0f_5_3]]
[[IMAGE:b04a8be4b3e9ca0f_5_4]]
[[IMAGE:b04a8be4b3e9ca0f_5_5]]

A published solution is not available for this question yet.

Question 153 MSQ · 2.0 marks

[[IMAGE:b04a8be4b3e9ca0f_5_6]]

[[IMAGE:b04a8be4b3e9ca0f_5_7]]
[[IMAGE:b04a8be4b3e9ca0f_5_8]]
[[IMAGE:b04a8be4b3e9ca0f_6_9]]
[[IMAGE:b04a8be4b3e9ca0f_6_10]]

A published solution is not available for this question yet.

Question 154 MSQ · 2.0 marks

Which of the following Evaluation metrics can be used in a regression problem?

Mean Squared Error
Accuracy
F1-Score
Mean Absolute Error
credit score
CGPA

A published solution is not available for this question yet.

Question 155 NAT · 2.0 marks

[[IMAGE:b04a8be4b3e9ca0f_6_11]]

A published solution is not available for this question yet.

Question 156 NAT · 3.0 marks

[[IMAGE:b04a8be4b3e9ca0f_7_12]]

A published solution is not available for this question yet.

Question 157 MSQ · 2.0 marks

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df [[IMAGE:b04a8be4b3e9ca0f_8_13]] Based on the above data, answer the given subquestions.

Which of the columns in the banking data are nominal features?

Job
Marital
Education
Housing
Contact

A published solution is not available for this question yet.

Question 158 MCQ · 2.0 marks

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df [[IMAGE:b04a8be4b3e9ca0f_8_13]] Based on the above data, answer the given subquestions.

Choose the correct option to find the number of null values (represented as nan) present in the Contact column

[[IMAGE:b04a8be4b3e9ca0f_8_14]]
[[IMAGE:b04a8be4b3e9ca0f_8_15]]
[[IMAGE:b04a8be4b3e9ca0f_8_16]]
[[IMAGE:b04a8be4b3e9ca0f_9_17]]

A published solution is not available for this question yet.

Question 159 MCQ · 2.0 marks

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df [[IMAGE:b04a8be4b3e9ca0f_8_13]] Based on the above data, answer the given subquestions.

In **Contact** column which of the following statistical measures can be used to replace nan values?

Mean
Median
Mode
Variance

A published solution is not available for this question yet.

Question 160 MSQ · 2.0 marks

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df [[IMAGE:b04a8be4b3e9ca0f_8_13]] 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?

[[IMAGE:b04a8be4b3e9ca0f_9_18]]
[[IMAGE:b04a8be4b3e9ca0f_9_19]]
[[IMAGE:b04a8be4b3e9ca0f_9_20]]
[[IMAGE:b04a8be4b3e9ca0f_9_21]]

A published solution is not available for this question yet.

Question 161 NAT · 1.0 marks

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df [[IMAGE:b04a8be4b3e9ca0f_8_13]] Based on the above data, answer the given subquestions.

[[IMAGE:b04a8be4b3e9ca0f_9_22]]

A published solution is not available for this question yet.

Question 162 MCQ · 1.0 marks

Consider the given Table 1: Banking data for the given subquestions stored as pandas dataframe in variable df [[IMAGE:b04a8be4b3e9ca0f_8_13]] Based on the above data, answer the given subquestions.

[[IMAGE:b04a8be4b3e9ca0f_10_23]]

secondary
329
2859
Error: Datatype not matching

A published solution is not available for this question yet.

Question 163 MCQ · 2.0 marks

Consider the Following codeblock for the given subquestions. [[IMAGE:b04a8be4b3e9ca0f_10_24]] Based on the above data, answer the given subquestions.

[[IMAGE:b04a8be4b3e9ca0f_11_25]]

(7,5)
(3,5)
(5,3)
(5,7)

A published solution is not available for this question yet.

Question 164 NAT · 1.0 marks

Consider the Following codeblock for the given subquestions. [[IMAGE:b04a8be4b3e9ca0f_10_24]] Based on the above data, answer the given subquestions.

[[IMAGE:b04a8be4b3e9ca0f_11_26]]

A published solution is not available for this question yet.

Question 165 NAT · 2.0 marks

Consider the Following codeblock for the given subquestions. [[IMAGE:b04a8be4b3e9ca0f_10_24]] Based on the above data, answer the given subquestions.

[[IMAGE:b04a8be4b3e9ca0f_11_27]]

A published solution is not available for this question yet.

Question 166 MCQ · 2.0 marks

Consider the Following codeblock for the given subquestions. [[IMAGE:b04a8be4b3e9ca0f_10_24]] Based on the above data, answer the given subquestions.

[[IMAGE:b04a8be4b3e9ca0f_12_28]]

[[IMAGE:b04a8be4b3e9ca0f_12_29]]
[[IMAGE:b04a8be4b3e9ca0f_12_30]]
[[IMAGE:b04a8be4b3e9ca0f_12_31]]
[[IMAGE:b04a8be4b3e9ca0f_12_32]]
[[IMAGE:b04a8be4b3e9ca0f_12_33]] **Maths1** **Section Id :** 64065379128 **Section Number :** 11 **Section type :** Online **Mandatory or Optional :** Mandatory **Number of Questions :** 14 **Number of Questions to be attempted :** 14 **Section Marks :** 50 **Display Number Panel :** Yes **Section Negative Marks :** 0 **Group All Questions :** No **Enable Mark as Answered Mark for Review and** No **Clear Response :** **Section Maximum Duration :** 0 **Section Minimum Duration :** 0 **Section Time In :** Minutes **Maximum Instruction Time :** 0

A published solution is not available for this question yet.