Implement prediction workflows based on these models

Reference no: EM133678475 , Length: word count:1000

Artificial Intelligence and Machine Learning

Assessment - Group Case Study and Individual Exercise

Task
Group: Using the Orange Data Mining software, implement prediction workflows based on decision tree and logistic regression models to perform a machine learning task. Answer the accompanying questions on decision tree and logistic regression models. You can get help from your group members, but you must implement your own prediction workflow and answer the accompanying questions yourself.

Assessment Description

Background: We have already explored several machine learning models, such as decision trees and logistic regression. It is possible to implement prediction workflows based on these models using a tool such as Orange, which has a widget-driven interface.

In this assessment, you will create machine learning models that can make predictions based on the data and report on the characteristics of the models and their potential for prediction.

Assessment Instructions

Implementation (in class). As a group,

Use Orange to implement prediction workflows based on decision trees and logistic regression to perform machine learning tasks. The dataset and parameters are given in the assessment sheet.

Based on the Orange output, answer the accompanying questions in the assessment sheet on the prediction accuracies of the decision tree and logistic regression models.

Your facilitator will come around to your group to ask questions and test your understanding of the workflow. You are encouraged to use Orange for the presentation. No marks will be awarded for the assessment unless you attended and participated in the group project.

Report (after class). As an individual, take notes in class and then write a 1000-word (maximum) report that summarises and provides suggestions for further analysis. This summary report is a part of the assessment and must be submitted via Turnitin. Additionally, the Orange workflow file must be submitted to the file submission box. No marks will be awarded for the assessment unless both the report and the Orange workflow file have been submitted. No marks will be awarded to students who share their workflow files with others.

Reference no: EM133678475

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