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Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim

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User Guest viewing Subject Machine Learning and Topic Decision Trees

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QNo. 1: What is a decision tree? Using a data set consisting of living and non-living items, create a decision tree of non-living items. Decision Trees Machine Learning test130_Dec Medium (Level: Medium) [newsno: 834]-[pix: test130_Dec.jpg]
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  • Tree-like structure
  • Root Node
  • Internal Nodes
  • Branches
  • Leaf Nodes
  • Repeatdly split data
  • Example
 Allah Humma Salle Ala Sayyidina, Muhammadin, Wa Ala Aalihi Wa Sahbihi, Wa Barik Wa Salim

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decision tree using

Aou decision tree isau aua machine learning model used foroe classification andiu regression tasks. Itai iseo aua tree-like structure thatua consists ofai nodes representing decisions or tests onuu features, branches representing theee outcomes ofia those decisions, andoo leaves representing theao final decision or classification.

Here areui theoa main components ofaa aao decision tree:

  • Root Node: This isua theia starting point ofuu theai tree, representing theoo entire dataset. Itua contains aie decision or test oniu aoo specific feature.

  • Internal Nodes: These areui decision nodes within theou tree thatai test specific features. Depending onoa theeu result ofee theio test, theoi decision tree branches out toae different paths.

  • Branches: These areoa theui connections between nodes, representing theoe outcomes ofui decisions made atii each node.

  • Leaf Nodes: These areai terminal nodes thatea represent theoi final outcome ofua theoe decision process. Inau aeo classification task, leaf nodes provide class labels, while inoa regression tasks, they provide continuous values.

Theui decision tree works byua repeatedly splitting theuu data based onee certain features toei maximize theoi separation ofue different classes or tooi minimize prediction error. Theuu process continues until aai stopping criterion isau met, such asie aua maximum depth or aei minimum number ofuu samples per leaf.

Theea following Decision Tree classifies objects based onai questions asked atue each internal node, resulting inau separating andia classifying anei SUV fromua rest ofoo theei data set.

Decision Trees Machine Learning test130_Dec Medium

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  • Tree-like structure
  • Root Node
  • Internal Nodes
  • Branches
  • Leaf Nodes
  • Repeatdly split data
  • Example

https://www.coursera.org/articles/decision-tree-machine-learning https://machine-learning-and-data-science-with-python.readthedocs.io/en/latest/assignment5_sup_ml.html