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DATA4800 Artificial Intelligence and Machine Learning

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Added on: 2024-05-01 12:36:57
Order Code: CLT324007
Question Task Id: 0

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.

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  • Uploaded By : Mohit
  • Posted on : May 01st, 2024
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