CS 7646 QUIZES | QUESTIONS AND ANSWERS |
2026 UPDATE | 100% CORRECT!
100% Correct 23
Incorrect 0
1 of 23
Term
T/F: In regression trees, predictions for a given observation are
made using the mean response of the training observations within the
same region:
Give this one a try later!
True.
True.
Mean is used for regression and
Regressions trees use mean.
mode is used for classification.
, False. The function can be False. Linear regression would use
almost anything but it will FEATURES to explore the effect on
struggle once it begins to form the TARGET (NOT THE REVERSE)
non linear graphs.
Don't know?
2 of 23
Definition
you need to predict a classification of something (like if email is
spam or not)
Give this one a try later!
T/F: Active managers believe that A classification tree would be
they can predict alpha used when
2 Types of decision trees: A regression tree is used when
Don't know?
3 of 23
Term
T/F: In the linear regression model, the coefficients represent the
intercept and rate of change of the targets with the respect to the
features.
, Give this one a try later!
True.
True
Regressions trees use mean.
False. The function can be
almost anything but it will True.
struggle once it begins to form
non linear graphs.
Don't know?
4 of 23
Term
T/F: Bayes' theorem provides a way to update the probability
estimate for an event based on new evidence, effectively converting
the prior probability into a posterior probability by incorporating the
likelihood of the new evidence.
Give this one a try later!
False
Bayes' Theorem is specifically used to work with conditional probabilities. It
helps calculate the probability of one event given the occurrence of another. In
fact, it is often applied when variables are not independent, allowing for the
incorporation of conditional dependencies between events.
It allows updating the probability of an event (A) based on new evidence (B).
True.
2026 UPDATE | 100% CORRECT!
100% Correct 23
Incorrect 0
1 of 23
Term
T/F: In regression trees, predictions for a given observation are
made using the mean response of the training observations within the
same region:
Give this one a try later!
True.
True.
Mean is used for regression and
Regressions trees use mean.
mode is used for classification.
, False. The function can be False. Linear regression would use
almost anything but it will FEATURES to explore the effect on
struggle once it begins to form the TARGET (NOT THE REVERSE)
non linear graphs.
Don't know?
2 of 23
Definition
you need to predict a classification of something (like if email is
spam or not)
Give this one a try later!
T/F: Active managers believe that A classification tree would be
they can predict alpha used when
2 Types of decision trees: A regression tree is used when
Don't know?
3 of 23
Term
T/F: In the linear regression model, the coefficients represent the
intercept and rate of change of the targets with the respect to the
features.
, Give this one a try later!
True.
True
Regressions trees use mean.
False. The function can be
almost anything but it will True.
struggle once it begins to form
non linear graphs.
Don't know?
4 of 23
Term
T/F: Bayes' theorem provides a way to update the probability
estimate for an event based on new evidence, effectively converting
the prior probability into a posterior probability by incorporating the
likelihood of the new evidence.
Give this one a try later!
False
Bayes' Theorem is specifically used to work with conditional probabilities. It
helps calculate the probability of one event given the occurrence of another. In
fact, it is often applied when variables are not independent, allowing for the
incorporation of conditional dependencies between events.
It allows updating the probability of an event (A) based on new evidence (B).
True.
