QMB3302 Practice Final Exam 2025-2026 most
recent version Comprehensive 70 questions and
verified answers accurate solutions Already
graded A+ Get it 100% correct
(from our possibly overly simplistic explanation)
In the attempt to fit values from the input layer to the output layer, the hidden layer
applies some weights to the input values. - CORRECT ANSWER: True
According to the documentation, a silhouette score of 1 is ______, and -1 is the
________ - CORRECT ANSWER: best score; worst score
All the nodes prior to the output nodes essentially 'guess' at the correct weights. Then
the algorithm checks to see if the initial guess is correct (usually not). When it is wrong
....... - CORRECT ANSWER: it tries again (runs another epoch)
An example week 12 was done in a Jupiter like environment called Google Collab. What
was the language that was demonstrated in the videos?
(One cool thing about this is that is looks just like any other package! Installing this on
your own is tricky) - CORRECT ANSWER: TensorFlow
Decision Tree's are nice because they are fairly simple and straightforward to interpret. -
CORRECT ANSWER: True
Decision Trees have a few problems, you should probably review those for the final
exam! The problem we talked about the most is: - CORRECT ANSWER: Overfitting
, Deep Neural Network have only 1 hidden layer and multiple input layers. - CORRECT
ANSWER: False
Each of the connections between nodes as a connection, each of those connections
has a ____________ - CORRECT ANSWER: activation function
Hierarchical clustering is more powerful than Kmeans, as it allows the researcher to
determine the exact number of clusters to use in the analysis. - CORRECT ANSWER:
False
Imagine X in the below is a missing value. If I were to run a median imputer on this set
of data what would the return value be?
50,60,70,80,100,60,5000, X - CORRECT ANSWER: 70
Imagine you have a dataset with 2 columns, both filled with continuous numbers. You
believe the first column is a predictor of the second column, Which of the model
approaches below could work when building a model? - CORRECT ANSWER: Decision
Tree: Maybe not the best solution. Decision trees have some problems like overfitting.
But you could try, it is a viable answer.
Regression: this is probably the obvious choice that comes to mind first!
Random Forest: can be a good thing to try. We did one in the videos to predict home
prices.
In class we walked through 5 steps in building a machine learning model. The textbook
also goes over in some depth. What are they?
First Step:
Second Step:
recent version Comprehensive 70 questions and
verified answers accurate solutions Already
graded A+ Get it 100% correct
(from our possibly overly simplistic explanation)
In the attempt to fit values from the input layer to the output layer, the hidden layer
applies some weights to the input values. - CORRECT ANSWER: True
According to the documentation, a silhouette score of 1 is ______, and -1 is the
________ - CORRECT ANSWER: best score; worst score
All the nodes prior to the output nodes essentially 'guess' at the correct weights. Then
the algorithm checks to see if the initial guess is correct (usually not). When it is wrong
....... - CORRECT ANSWER: it tries again (runs another epoch)
An example week 12 was done in a Jupiter like environment called Google Collab. What
was the language that was demonstrated in the videos?
(One cool thing about this is that is looks just like any other package! Installing this on
your own is tricky) - CORRECT ANSWER: TensorFlow
Decision Tree's are nice because they are fairly simple and straightforward to interpret. -
CORRECT ANSWER: True
Decision Trees have a few problems, you should probably review those for the final
exam! The problem we talked about the most is: - CORRECT ANSWER: Overfitting
, Deep Neural Network have only 1 hidden layer and multiple input layers. - CORRECT
ANSWER: False
Each of the connections between nodes as a connection, each of those connections
has a ____________ - CORRECT ANSWER: activation function
Hierarchical clustering is more powerful than Kmeans, as it allows the researcher to
determine the exact number of clusters to use in the analysis. - CORRECT ANSWER:
False
Imagine X in the below is a missing value. If I were to run a median imputer on this set
of data what would the return value be?
50,60,70,80,100,60,5000, X - CORRECT ANSWER: 70
Imagine you have a dataset with 2 columns, both filled with continuous numbers. You
believe the first column is a predictor of the second column, Which of the model
approaches below could work when building a model? - CORRECT ANSWER: Decision
Tree: Maybe not the best solution. Decision trees have some problems like overfitting.
But you could try, it is a viable answer.
Regression: this is probably the obvious choice that comes to mind first!
Random Forest: can be a good thing to try. We did one in the videos to predict home
prices.
In class we walked through 5 steps in building a machine learning model. The textbook
also goes over in some depth. What are they?
First Step:
Second Step:
