Basic Machine Learning algorithms
Quiz
•
Mathematics, Computers
•
University
•
Hard
Quoc Son Nguyen
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25 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The coefficients of the least-squares regression line are determined by minimizing the sum of the squares of the
x-coordinate
y-coordinate
residuals
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A residual is computed as
a y‐coordinate from the data minus a y‐coordinate predicted by the line.
a y‐coordinate predicted by the line minus a y‐coordinate from the data.
an x‐coordinate from the data minus an x‐coordinate predicted by the line.
an x‐coordinate predicted by the line minus an x‐coordinate from the data.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A geometric interpretation of a residual is the
perpendicular distance from a data point to the regression line.
horizontal distance from a data point to the regression line.
vertical distance from a data point to the regression line.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statement is TRUE about the Naive Bayes classifier?
Bayes classifier works on the Bayes theorem of probability.
Bayes classifier is an unsupervised learning algorithm.
Bayes classifier is based on prior probability.
It assumes that all features are statistically dependent on each other.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following methods do we use to best fit the data in Logistic Regression?
Least Square Error
Maximum Likelihood
Euclidean distance
Posterior probability
6.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which of the following evaluation metrics can be applied in case of logistic regression output to compare with target? (check all that applies)
Sensitivity
Accuracy
Mean square error
R2
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following comparison(s) are true about PCA and LDA?
1) Both LDA and PCA are linear transformation techniques
2) LDA is unsupervised whereas PCA is supervised
3) PCA maximize the variance of the data, whereas LDA maximize the separation between different classes,
1 and 2
1 and 3
2 and 3
1,2 and 3
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