DATA4800 Exploring Machine Learning Models: Insights and Suggestions

Your 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. Individual: Individually summarise the learnings and suggest additional techniques in a brief report.

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,

1. 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.
2. 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.

Are you struggling to keep up with the demands of your academic journey? Don't worry, we've got your back! Exam Question Bank is your trusted partner in achieving academic excellence for all kind of technical and non-technical subjects. Our comprehensive range of academic services is designed to cater to students at every level. Whether you're a high school student, a college undergraduate, or pursuing advanced studies, we have the expertise and resources to support you.

To connect with expert and ask your query click here Exam Question Bank