Fundamentals Of AI Assignment, NUS, Singapore: Develop A Python Orange Program To Train A Machine Learning Classifiers To Classify The Mobile Phone Price Range
| University | National University of Singapore (NUS) |
Question 2 Classification of Notes authenticity
You are given a dataset, Mobiledata.csv, which contains features of the phone and their price range. The price range is indicated by the numbers 0,1,2, or 3. Your task is to train a classifier that can accurately detect a mobile phone’s price range.
You are required to:
- Develop a Python Orange program to train machine learning classifiers to classify the mobile phone price range. The classifier must achieve an F1 score of at least 0.9 on the test dataset.
- Explain the purpose of the training, validation, and test data in the machine learning workflow.
- Suppose you are only allowed to use one feature to train the classifier. Which feature would you choose, and explain why this feature is selected?
Hire a Professional Essay & Assignment Writer for completing your Academic Assessments
Empower your academic journey with our comprehensive range of services tailored for TMA submissions and individual assignments at the National University of Singapore (NUS). Our assignment writing service in Singapore is designed to support students tackling subjects like Fundamentals of AI. Dive into our specialized Dissertation Writing Services that cater to in-depth research needs. Specifically focusing on NUS's Fundamentals of AI Assignment, our experts excel in developing Python Orange programs to train machine learning classifiers, enabling precise classification of mobile phone price ranges. Students in Singapore can rely on our expertise, offering personalized guidance and support—pay our experts for tailored assistance in conquering your coursework.
- Final Assignment: Migrating FashionOnline’s Infrastructure to AWS: A Strategy for Enhanced Availability and Data Protection
- HRM331: Talent Management – Strategic Shift from the War for Talent to the Wealth of Talent
- Marginalised Populations – The Structural and Cultural Exclusion of People Experiencing Homelessness in Singapore
- CVEN3501 Assignment 2: Groundwater Modelling of Drawdown from a Pumping Bore
- CSCI312 Assignment 2: Conceptual Modelling and Implementation of a Data Warehouse and Hive Queries
- CH2123 Assignment: Fugacity, VLE Modeling & Applications of Henry’s Law
- BAFI1045 Assignment -Constructing and Evaluating Passive and Active Portfolios Based on the Straits Times Index (STI)
- FIN2210E/FIN2212E Group Assignment: Financial Risk Management Analysis of Bursa Malaysia Companies
- FLM101 Assignment: A Film Analysis: Stylistic Techniques and Their Thematic Importance
- HRM Assignment Answer: Talent Transformation in the Age of AI: Turning Challenges into Opportunities via Ecosystem Innovation
UP TO 15 % DISCOUNT