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Final Exam MIS 3300 Questions with Correct Answers.
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Final Exam MIS 3300 Questions with Correct Answers.
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Final Exam MIS 3300 Questions with CorrectAnswers
Decision tree Correct Answer-A data mining methodology where leaves
and nodes are generated to construct a predictive tree, whereby a data
miner can see the attributes which are most predictive of each possible
outcome in a target attribute is known as:
categorical, mixed Correct Answer-Decision trees can be a good choice
for a predictive model when the target attribute is in nature, and when
the data set is of types.
What the prediction is
how confident we can be in a prediction
how we arrived at the prediction Correct Answer-Decision trees can tell
us:
a measure of uncertainty (purity/impurity) used in classification
problems Correct Answer-In supervised data mining, the concept of
"Entropy" refers to:
Information Gain (IG) Correct Answer-A bank is interested in
classifying loan applications into one of three risk categories: low,
medium, and high. Each loan application provides information about key
attributes such as the applicant salary, credit rate, and age. We can
measure how informative an attribute is with respect to the target
attribute (i.e. Risk) by calculating:
,It can be use to predict sales based on dollars spent on advertising.
It can be use to assess how investments in IT affect firm performance.
It can be used to predict student enrollment based on the cost of
undergraduate courses. Correct Answer-Which of the following
statements are true about the application of Linear Regression?
Predictive and Diagnostic analytic Correct Answer-Linear regression
can be used for:
variable we wish to explain; variable used to explain or predict the
dependent variable Correct Answer-The Dependent Variable is the
_____ while the Independent Variable is the_____.
Estimated change in the average value of Y as a result of a one-unit
change in X Correct Answer-In the Linear Regression equation "Y = b0
+ b1*X" , the b1 variable is the:
R-squared Correct Answer-In Linear Regression, which of the following
metrics is commonly used to assess model performance?
It depends on the classification problem Correct Answer-Which
classification algorithm is the best?
Desicion Tree
K-mean
Logistic Regression
, Neural Networks Correct Answer-Types of classification algorthm
Correct Answer-What happens when the learning rate of a neural
network is low?
Performance—Binominal Classification Correct Answer-Jimmy Fallon
wants to create a classification model in RapidMiner. Jimmy wants to
understand what predicts his show's success. The 3 discrete success
classes he is interested in are high ratings, medium ratings, and low
ratings. Which RapidMiner operator is not appropriate for this
classification?
Linear Regression Correct Answer-Again ... Jimmy Fallon wants to
create a classification model. He wants to understand what predicts his
show's success. The 3 discrete success classes he is interested in are high
ratings, medium ratings, and low ratings. Which algorithm is not
appropriate for this?
Binary
Nominal Correct Answer-Discriminant Analysis requires a target
variable that belongs to which measurement classification?
false positive rate Correct Answer-In a ROC chart, the horizontal axis
represents the model's ______.
larger than Correct Answer-Generally speaking, in supervised data
mining, the training dataset is ______ the testing dataset.
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