Discriminant analysis

Which of the following is not a classification method?

• Binary Logistic Regression

• Discriminant Analysis

• Neural Network

• Support Vector Regression

Assumptions that must be met in discriminant analysis are

• Independent variables are normally distributed

• Dependent variable is normally distributed

• Heterogeneous variance between groups

• Multicollinearity exists

Assumptions in discriminant analysis , except

• Independent variables are normally distributed

• Dependent variable is normally distributed

• Homogeneity of variance between groups

• No multicollinearity

Data scale for dependent variable in discriminant analysis is

• Nominal

• Rasio

• Interval

• Ordinal

Linear combination of original variables with a value that can separate groups maximally

• discriminant function

• discriminant formula

• principal component analysis

• discriminant pattern

One of the criteria for classification accuracy is

• Accuracy

• RMSE

• AIC

• BIC

Measure of classification accuracy , except

• AUC

• ROC

• BCR

• Pseudo F

What is the inappropriate classification accuracy measure for imbalanced data?

• Accuracy

• AUC

• ROC

• Sensitivity

The threshold value for AUC is

• 0.5

• 0.4

• 0.6

• 0.3

ROC is a graph between

• True positive rate with True negative rate

• True positive rate with False negative rate

• False positive rate with True negative rate

• False positive rate with False negative rate