Graphs- 6 Boosted Decision Trees and Random Forest (Henry) In this assignment, you are going to fit and tune random forest and boosted decision trees to predict whether a given passenger survived the sinking of the Titanic based on the variables provided in the data set. You may use sklearn and gridsearch. 6.1First, download the […]
What are the advantages of using mathematical decision tools such as decision trees and weighted factors? Discuss with example.
ASSIGNMENT Action Required: Read the following statement: A decision tree is a graph that you use to analyze and keep track of questions asked by a particular person. Weighted factors help you to fairly compare decision factors. 12.3 Test your knowledge (question): What are the advantages of using mathematical decision tools such as decision trees […]
Create a decision tree model where every terminal node has at least 25 observations. Do you notice any difference between this model and the model created in part (6) above? Explain.
Assignment Decision Trees: Following the steps defined below, create a decision tree model to predict whether an individual has diabetes: (a) Using the training and testing partitions created in question 3, create a decision tree model on your training data to predict the ”Outcome” variable using the rpart function. In your console, print the decision […]