Fall 2026

Decision Trees for Multivariate Analysis

STAT 761 teaches decision tree construction, pruning, and error estimation for multivariate analysis.

no offering record for this termCredits unavailable
Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Fall 2018: 4.00 GPA, 100.0% A/AB (n=22 letter grades); Fall 2021: 3.83 GPA, 100.0% A/AB (n=29 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=18 letter grades).

Grade history

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average GPA
letter grades
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Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
STAT 761

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  • Graduate/professional standing

Professors

Fall 2026

No instructors recorded for this selection.

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Fall 2018: 4.00 GPA, 100.0% A/AB (n=22 letter grades); Fall 2021: 3.83 GPA, 100.0% A/AB (n=29 letter grades); Spring 2024: 4.00 GPA, 100.0% A/AB (n=18 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Handling categorical predictors, missing data, and class probabilities
  • Addressing selection bias in analysis
  • Extensions to piecewise linear and non-least squares regression

Skills

  • Constructing and pruning decision trees
  • Comparing decision trees with other statistical and machine learning methods

Grades

Latest available · Spring 2024— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2024

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Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "c88654b2a7fcd2811ae0b208dd6b884921794fa3bd3bdd99b0daf719930fce75",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}