Question: Classification > Decision Tree > Gain Ratio Consider the training examples shown below for a binary classification problem. Construct a decision tree, only one level

Classification > Decision Tree > Gain Ratio
Consider the training examples shown below for a binary classification problem. Construct a decision tree, only one level using Gain Ratio and multi-way splits.
\table[[ID,Major,Income,Gender,Decision],[1,Computer,Low,M,No],[2,Industrial,Medium,M,No],[3,Industrial,Medium,M,No],[4,Mechanical,Medium,M,No],[5,Electronics,Medium,M,No],[6,Electronics,Medium,M,No],[7,Computer,Medium,F,No],[8,Computer,Medium,F,No],[9,Industrial,Medium,F,No],[10,Mechanical,High,F,No],[11,Mechanical,Low,M,Yes],[12,Electronics,Low,M,Yes],[13,Industrial,Low,M,Yes],[14,Electronics,High,M,Yes],[15,Computer,High,F,Yes],[16,Computer,High,F,Yes],[17,Industrial,High,F,Yes],[18,Industrial,High,F,Yes],[19,Industrial,High,F,Yes],[20,Computer,High,F,Yes]] Consider the training examples shown below for a binary classification problem. Construct a decision tree, only one level using Gain Ratio and multi-way splits.
Classification > Decision Tree > Gain Ratio Consider the training examples

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!

Q:

1)Reading 11: What is an expected monetary value? How does the EMV contrast to the monetary value? Why is it important for a decision maker to ignore irrelevant data? How sensitive is any decision to...

Q:

The goal of this project is to build and validate a Classification Decision Tree in RapidMiner. Choose from the data sets Car Evaluation in UCIs machine learning data repository...

Q:

A creative engineer suggests structuring the TLB so that not all the bits of the presented address need match to result in a hit. Suggest how this might be achieved, and what might be the costs and...

Q:

Classification is a form of data analysis where a model or classifier is constructed to predict class labels or types. Data classification is a two-phase process, 1) a learning phase in which the...

Q:

Classification is a form of data analysis where a model or classifier is constructed to predict class labels or types. Data classification is a two-phase process, 1) a learning phase in which the...

Q:

(a) In SystemVerilog, what is the difference between: (i) The ternary operator ? and if...then...else statements? [2 marks] (ii) always_ff and always_comb? [2 marks] (iii) Blocking, non-blocking and...

Q:

Only part c) 5 Decision Trees (12 pts] (a) (2 pt) You are given a training dataset with d features and labeled examples (1), ..., (n). Based on these data, you build a decision tree D1 selecting...

Q:

data mining subject 1- summary the artical 2-what is data size 3- recoreds applied 4-what techqinecs is used 5- explain resualts EMPIRICAL STUDY ON SELECTION OF TEAM MEMBERS FOR SOFTWARE PROJECTS -...

Q:

Portray in words what transforms you would have to make to your execution to some degree (a) to accomplish this and remark on the benefits and detriments of this thought.You are approached to compose...

Q:

Implement the ID3 decision tree learning algorithm that we discussed in class. To simplify the implementation, your system only needs to handle binary classification tasks (i.e. each instance will...

Q:

The Austin Company uses the dollar-value LIFO inventory method with internally developed price indexes. Assume that ending inventory at year-end cost has been determined. Outline the remaining steps...

Q:

In January 2015, Kirkland University receives a pledge of $200,000, to be used exclusively to support research in a specialized area of communication disorders. The universitys scal year ends on July...

Q:

The expected return on the market is the risk - free rate plus the _ Multiple Choicediversified returnshistorical market returnunsystematic returnequilibrium risk premium

Q:

Explain in detail step 4 of Kotter s 8 step model of change

Q:

=+Did you find it funny when they asked, Where my kids at? Or when they break the rap when the little girl says, I gotta potty.

Q:

=+Look closely at the two scripts below (1) Pay Per View and (2) Red Paint. The first one of each spot is as scripted. The second one is as produced. Can you spot the rewrites? The little changes...

Q:

=+Compare the two spots. Look at the casting, the music, the dancing, the visual references like the body language and hand gestures of the Sienna commercial and the finger sandwiches and chocolate...