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DECISION TREES FOR MULTIVARIATE ANALYSIS

STAT 761
Course Description

Tree construction, including finding splits, tree-pruning and error estimation. Categorical predictor variables, missing or censored data, prior class-probabilities, and unequal misclassification costs. Selection bias. Comparison with other statistics and machine-learning methods. Extensions to piecewise linear and non-least squares regression models.

Prerequisties

Graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
4

3.83% from Historical

Completion Rate
100%

0.46% from Historical

A Rate
100%

11.11% from Historical

Class Size
18

-26.36% from Historical

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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