
ISA - Batch 1 - Python Assessment
Authored by Riti Bera
Computers, Professional Development, Business
University
Used 2+ times

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30 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) Which of the following metrics and tools are most widely used to assess a classification model?
Confusion matrix
Precision & Recall
Area under the ROC curve
All of the above
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) What is the purpose of performing cross-validation?
To assess the predictive performance of the models
To judge how the trained model performs outside the sample on test data
Both A and B
None of the above
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) The marks of a student on 6 subjects are stored in a list, list1=[80,66,94,87,99,95]. How can the student's average mark be calculated?
print(avg(list1))
print(sum(list1)/len(list1))
print(sum(list1)/dist(list1))
print(total(list1)/len(list1))
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) When performing regression or classification, which of the following is the correct way to pre-process the data?
Normalize the Data->PCA->Training
PCA → normalize PCA output → training
Normalize the data → PCA → normalize PCA output → training
None of the Above
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) SVM can be used to solve which of the following problem/problems?
Clustering
Classification
Regression
B & C Both
A & C Both
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) Which distance metrics is used by K-Nearest Neighbors to identify the similar(neighboring) records?
Perpendicular Distance
Euclidean Distance
Diagonal Distance
None of the above
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Q) In a linear regression problem, we are using “R-squared” to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model.
Which of the following option is true?
If R Squared increases, this variable is significant.
If R Squared decreases, this variable is not significant.
Individually R squared cannot tell about variable importance. We can’t say anything about it right now.
None of these.
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