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Which of the following methods do we use to best fit the data in Logistic Regression?
Least Square Error
Maximum Likelihood
Jaccard distance
All of these

Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?
AUC-ROC
Accuracy
Logloss
Mean-Squared-Error

Let f(x) denote the logistic function. The range of f(x) for any real value of x is
(0,1)
(-1 , 1)
All positive integers
All negative integers

Which of the following option is true?
Linear Regression errors values has to be normally distributed but in case
of Logistic Regression it is not the case
Logistic Regression errors values has to be normally distributed but in
case of Linear Regression it is not the case
Both Linear Regression and Logistic Regression error values have to be
normally distributed
Both Linear Regression and Logistic Regression error values have not to
be normally distributed

For the figure given below, which decision boundary is overfitting the training data?
A
B
C
None of these

Select the correct alternatives from the following based on the figure
1.The training error in first plot is maximum as compared to second and
third plot.
2.The best model for this regression problem is the last (third) plot
because it has minimum training error (zero).
3.The second model is more robust than first and third because it will
perform best on unseen data.
4.The third model is overfitting more as compared to first and second.
5.All will perform same because we have not seen the testing data.
1 and 3
1 and 4
1,3 and 4
5

For categorical data with ‘n’ categories, the number of dummy variables will be________
n
n - 1
n + 1
2n

In binary logistic regression,
The dependent variable is continuous
The dependent variable is divided into two equal subcategories
The dependent variable consists of two categories
There is no dependent variable

If the number of False negatives is 5 and number of True Positives is 20, the value of recall will be equal to _______
0.2
0.6
0.8
0.3

If the precision is 0.6 and the recall value is 0.4, the value of f-measure will be
0.48
1
0.24
None of these Instagram Link
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