Bartleby Related Questions Icon

Related questions

Q: may be combi
A: Discretisation with decision trees Separation with decision trees involves using a decision tree to…
Q: What are the differences between the B tree and the B+ tree?
A: The difference between b tree and b+ tree is given in next step:
Q: Please construct a decision tree for the following data set that is discussed in the class.…
A: Decision Tree Mining could be a style of data processing technique that's accustomed build…
Q: You use your favorite decision tree algorithm to learn a decision tree for binary classification.…
A: The question has been answered in step2
Q: Q.6 Explain impurity measures in decision tree.
A:
Q: Consider the following table as a training set to predict customer's default status. Customer name…
A:
Q: You are a robot and want to predict the weight of the anteaters based on their skin type, body size…
A: A decision tree classifier is a machine learning algorithm that creates a model in the form of a…
Q: Draw a binary expression tree that represents the expression 3 * (( 7 + 1) / 4) + (17 – 5) Also,…
A: Binary expression tree:- A binary expression tree is a specific type of tree data structure that is…
Q: Discretized values in a decision tree may be combined into a single branch, if: Group of answer…
A: You can choose multiple answers here:order is not preserved: This is the primary condition for…
Q: please code in python Apply a Decision Tree model for classifying the events as normal or anomalous.…
A: we have to create a decidion tree model for classifying the events as normal or am=nomalous.…
Q: The in a decision tree are arranged according to their occurrence in time (from left to right).
A: 1) A decision tree is a machine learning model that uses a tree-like graph or model of decisions and…
Q: In algorithms please help me answer this question I will give you a good rating :) CoinChnage draw…
A:
Q: Which normal form guarantees that a derivation tree will always be a binary tree?
A: The process of normalization involves removing duplication from a correlation or group of…
Q: Q1 Classification The classification tree was trained with response data Y and using two explanatory…
A: A) Sketch of the Classification Tree: The provided classification tree consists of decision nodes…
Q: You are familiar with the parent → child relationship in a binary tree. Write a function which…
A: PROGRAM STRUCTURE: Write the python program to check if two nodes in a binary tree are cousins.…
Q: Create a decision tree based on the table, calculate the first tree separation in decision tree…
A: In composite manufacturing processes, ensuring the quality of the final products is paramount.…
Q: Name Smoking Weight hypertension A Yes Overweight Yes B Yes Underweight No C No Underweight No D…
A: Below is the complete solution with explanation in detail for the given question about Decision Tree…
Q: . How many decision trees are there with 3 binary attributes? With 4? . In class we looked at an…
A: 1.  Decision trees are there with 3 binary attributes:-------------For three attributes there are 7…
Q: The binary search tree is great for storing information that allows efficient searching and/or…
A: class BST_class {  //node class that defines BST node  class Node { int key; Node left, right;…
Q: A decision tree model built with MinimumCasesForSplit=20, MinCasesAtLeaf=10, Pre-pruning=Yes,…
A: MinCasesAtLeaf=5, Pre-pruning=Yes, Pruning=Yes and maxDepth=5
Q: Alert dont submit AI generated answer.
A: The question is asking for the value of A in a decision tree for a minimization problem. The…
Q: What is the in-order traversal for a binary search tree with elements added in this order: Meg,…
A: The in-order traversal for a binary search tree with elements added in this order: Meg, Stewie,…
Question

There is a dataset of 800 patients tested for Chronic Kidney Disease (CKD). The dataset has 400 patients tested positive for CKD and 400 tested negative for CKD (400 + ve; 400 - ve).

Now, suppose you have two possible splits based on a decision tree classifier.

Possible split #1:

(300 + ve; 100 - ve) and (100 + ve; 300 - ve)

Possible split #2:

(200 + ve; 400 - ve) and (200 + ve; 0 - ve).

 

1. Calculate the Misclassification index for split #1 and split #2?  

2. Calculate the Gini index for split #1 and split #2?

3. Which one of the two splitting methods is better and why? 

300 +ve 100 -ve 100 +ve 300 -ve Possible split #1 200 +ve 400-ve 200 +ve 0 -ve Possible split #2
expand button
Transcribed Image Text:300 +ve 100 -ve 100 +ve 300 -ve Possible split #1 200 +ve 400-ve 200 +ve 0 -ve Possible split #2
Expert Solution
Check Mark
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
See solutionCheck out a sample Q&A here
Step 1: Step
VIEW
Step 2: Step
VIEW
Solution
VIEW
bartleby

Step by stepSolved in 3 steps

See solution
Check out a sample Q&A here
Blurred answer
Knowledge Booster
Background pattern image
Similar questions