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10 Multiple Choice Questions
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Welcome to your Machine Learning Quiz
What's the line that goes through a linear regression model called?
The least fit line
A best fit line
The standard error line
Don’t know
For a Linear Regression model, we choose the coefficients and the bias term by minimizing the _____.
Loss function
Error function
Cost function
All of the above
What do we call the distance between a point and the best fit line in a linear regression?
The standard deviation
The Error
Point Distance
Don’t know
A linear regression model assumes “a linear relationship between the input variables and the single output variable.” What’s the meaning of this assumption?
The output variable can’t be calculated from a linear combination of the input variables
The output variable can be calculated from a linear combination of the input variables
Input variables can be calculated from a linear combination of the output variables
Output variable = sum of the input variables
Which one is the disadvantage of Linear Regression?
The assumption of linearity between the dependent variable and the independent variables. In the real world, the data is not always linearly separable
Linear regression is very sensitive to outliers
Before applying Linear regression, multicollinearity should be removed because it assumes that there is no relationship among independent variables
All of the above
In which of the following cases will K-Means clustering fail to give good results?
Data points with outliers
Data points with different densities
Data points with non-convex shapes
All of the above
Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations: C1: {(2,2), (4,4), (6,6)} C2: {(0,4), (4,0)} C3: {(5,5), (9,9)} What will be the cluster centroids if you want to proceed for second iteration?
C1: (4,4), C2: (2,2), C3: (7,7)
C1: (6,6), C2: (4,4), C3: (9,9)
C1: (2,2), C2: (0,0), C3: (5,5)
None of these
What is the minimum no. of variables/ features required to perform clustering?
0
1
2
3
Customer segmentation is an example of
Classification
Clustering
Association
None of the above
In K-Means, K stands for __________
Data sets
Number of clusters
Error function
Time is Up!