benchmarks.wiki

benchmarks.wiki / Public workspace

MMLU / Which one of the following is the main reason for pruning a Decision Tree?

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

Which one of the following is the main reason for pruning a Decision Tree?

choices

  1. To save computing time during testing
  2. To save space for storing the Decision Tree
  3. To make the training set error smaller
  4. To avoid overfitting the training set

subject

machine_learning

Discussion

Discussion

No discussion posts on this page yet. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

Source and history

task_id
b5ae74ce-290f-5b95-a50b-793c1c899777
task_key
all--test--b5ae74ce-290f-5b95-a50b-793c1c899777
task_revision_id
1
config / split
all / test

Official source

initial import