BAN 402 Exam

Tidymodels framwork ordering

Recipe, model, workflow

K-fold is used to do

parameter tuning

a logistic regression variable is

yes/no

A linear regression variable is

quantitative, test score, miler per gallon

For a logistic regression model, you look at (blank) on the lefthand side

The log of a particular class

In a logistic regression model you are trying to predict

probability

The process by which a second sample group is given a test to ensure it is applicable to more than one group

Cross validation

What are the k-folds

3, 5, 10

What does cross validation help with

tuning

response variable is categorical, qualitative predicting binary variable, beta is rate "glm"

logistic regression model

In classification, you want AIC to be

low

in classification, you want r squared to be

high

response variable is numerical, quantitative "lm"

linear regression model

confusion matrix

Predictions vs. Actual

developing probabilities/predictions

50% is default threshold, balancing sensitivity and specificity (important in healthcare, credit card fraud, insurance)

splitting data helps with

overfitting

naive accuracy

Confusion Matrix and Statistics: "No Information Rate" and accuracy.. usually w all variables

The r-squared value for a classification model is

AIC

In ROCR, you are looking for

the curve closest to the top left corner

Classification trees use the

rpart package

The parameter to change complexity is

cp

Lower cp means

tree is big

higher cp means

tree is small

A tree with no splits

terminal node

random forest uses

minn and mtry

in clustering, you do not know

dependent variable

in clustering, who specifies the number of clusters

the user

in clustering, you use what function

mbclust

in clustering, what algorithm do you use

kmeans

What does the "CP" parameter control in rpart()?

The complexity of the classification tree

Which function is used to develop predictions from a classification tree in caret?

predict()

What is the term used to describe a tree without any splits?

leaf node

What does the term "min.node.size" control in the ranger function?

The number of observations in a terminal node

Which measure indicates the proportion of true negative instances that are correctly identified by the model?

specificity

What is the key difference between clustering and previous subjects?

dependent variable is unknown

Which package is used to determine the optimal threshold for classification?

ROCR

Which package is used to determine probabilities from logistic regression?

ROCR