Decision Tree in R - English

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Outline:
About Decision Tree.
Assumption of Decision Tree.
Advantages of Decision Trees.
Practical implementation of Decision Trees in R using Raisin datasets.
Create the Decision Tree model.
Use the model to make predictions on the testing data partition.
Generate the predicted classes from the trained decision tree model.
Evaluate the model.
Plot Decision Tree Model.
Visualize the decision boundary of the model.
Width:1044 Height:784
Duration:00:12:49 Size:11.1 MB

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Pre-requisite

Logistic Regression in R

  Assignment

Code files

  • Codefiles-Decision-Tree/
  • Codefiles-Decision-Tree/DecisionTree.R
  • Codefiles-Decision-Tree/Raisin.xlsx

Script

Slides

  • Slides-Decision-Tree/
  • Slides-Decision-Tree/fossee-logo.png
  • Slides-Decision-Tree/Decision Tree.tex
  • Slides-Decision-Tree/St-logo.png
  • Slides-Decision-Tree/Decision Tree.pdf