Regression Models in Machine Learning
Quiz
•
Computers
•
University
•
Hard
Thomas Martinez
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10 questions
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1.
MULTIPLE SELECT QUESTION
1 min • 1 pt
Which of these are supervised machine learning algorithms?
Linear Regression
Logistic Regression
K-Means Clustering
All of these
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Is it possible to design a linear and logistic regression using neural network?
Yes
No
Cannot say
May be possible
3.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following methods do we use to best fit the data in Logistic Regression?
Least Square Error
Any distance metric
Maximum Likelihood
Least Square Error and Maximum Likelihood
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?
AUC-ROC
Accuracy
Mean-Squared-Error
None of these
5.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Consider a following model for logistic regression: P (y =1|x, w)= g(w0 + w1x), where g(z) is the logistic function. In the above equation the P (y =1|x; w) , viewed as a function of x, that we can get by changing the parameters w.
What would be the range of p in such case?
(0, inf)
(-inf, 0 )
(0, 1)
(-inf, inf)
6.
MULTIPLE SELECT QUESTION
2 mins • 1 pt
Suppose, You applied a Logistic Regression model on a given data and got a training accuracy X and testing accuracy Y. Now, you want to add a few new features in the same data. Select the option(s) which is/are correct in such a case.
Training accuracy increases
Training accuracy increases or remains the same
Testing accuracy decreases
Testing accuracy increases or remains the same
7.
MULTIPLE CHOICE QUESTION
2 mins • 1 pt
Which of the following image is showing the cost function for y =1.
Both
None of these
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