DSCI 4520 FINAL EXAM QUESTIONS WITH VERIFIED ANSWERS
Correct 98
Incorrect 00
1 of 98
Term
What similarity function we used in this course to quantify user
similarities in the User-Based Collaborative Filtering model?
Give this one a try later!
Pearson Correlation Coefficient
Absolute Similarity Function
Function
Manhattan Distance Function Euclidean Distance Function
Don't know?
2 of 98
,Term
Which of the following statements is INCORRECT about the missing
values in a data set?
Give this one a try later!
The best strategy is always to impute The best strategy is always to ignore
missing values with averages missing values in analysis
The best strategy is always to
The best strategy is always to replace
drop records with any missing
missing values with zero
values
Don't know?
3 of 98
Term
Which of the following statements is INCORRECT about the logistic
regression model?
Give this one a try later!
In the logistic regression, the
In the logistic regression, the model
intercept cannot be zero
always predicts probabilities between
because of the natural
0 and 1
logarithm function
, In the logistic regression, the In the logistic regression, the
variables must be linearly related coefficients must be positive
Don't know?
4 of 98
Term
Which of the followings is a core idea/task in data mining?
Give this one a try later!
Adding the number of tests (splits) All of the others
Processing messages/events from a
Data exploration
queue, service bus, or event stream
Don't know?
5 of 98
Term
Which of the following models (the dark blue line) shows a case of
underfitting?
, Give this one a try later!
A c
D LSTAT
Don't know?
6 of 98
Term
What is the Euclidean distance between the following two records
WITHOUT normalization? Round your answer to 1 decimal.
Give this one a try later!
9.5 11.5
12.8 10.2
Don't know?
7 of 98
Correct 98
Incorrect 00
1 of 98
Term
What similarity function we used in this course to quantify user
similarities in the User-Based Collaborative Filtering model?
Give this one a try later!
Pearson Correlation Coefficient
Absolute Similarity Function
Function
Manhattan Distance Function Euclidean Distance Function
Don't know?
2 of 98
,Term
Which of the following statements is INCORRECT about the missing
values in a data set?
Give this one a try later!
The best strategy is always to impute The best strategy is always to ignore
missing values with averages missing values in analysis
The best strategy is always to
The best strategy is always to replace
drop records with any missing
missing values with zero
values
Don't know?
3 of 98
Term
Which of the following statements is INCORRECT about the logistic
regression model?
Give this one a try later!
In the logistic regression, the
In the logistic regression, the model
intercept cannot be zero
always predicts probabilities between
because of the natural
0 and 1
logarithm function
, In the logistic regression, the In the logistic regression, the
variables must be linearly related coefficients must be positive
Don't know?
4 of 98
Term
Which of the followings is a core idea/task in data mining?
Give this one a try later!
Adding the number of tests (splits) All of the others
Processing messages/events from a
Data exploration
queue, service bus, or event stream
Don't know?
5 of 98
Term
Which of the following models (the dark blue line) shows a case of
underfitting?
, Give this one a try later!
A c
D LSTAT
Don't know?
6 of 98
Term
What is the Euclidean distance between the following two records
WITHOUT normalization? Round your answer to 1 decimal.
Give this one a try later!
9.5 11.5
12.8 10.2
Don't know?
7 of 98
