University | Singapore Management University (SMU) |
Subject | Predictive analytics Assignment |
Predictive analytics Assignment, SMU, Singapore: In late 2013, the taxi company Yourcabs.com in Bangalore, India, was facing a problem with the drivers using their platform
In late 2013, the taxi company Yourcabs.com in Bangalore, India, was facing a problem with the drivers using their platform not showing up for their scheduled calls. Drivers would cancel their acceptance of a call, and, if the cancellation did not occur with adequate notice, the customer would be delayed or even left high and dry. Yourcabs.com featured an online booking system (though customers could phone in as well) and presented itself as a taxi booking portal. Yourcabs.com had collected data on its bookings from 2011 to 2013. The data presented for this case are a randomly selected subset of the original data, with 10,000 rows, one row for each booking. There are 17 input variables, including user (customer) ID, vehicle model, whether the booking was made online or via a mobile app, type of travel, type of booking package, geographic information, and the date and time of the scheduled trip. The target variable of interest is the binary indicator of whether a ride was canceled. The overall cancellation rate is between 7% and 8%.
Questions
1. Explore, prepare, and transform the data to facilitate predictive modeling. (5)
2. Fit the following predictive models. Discuss the results. (35) a) kNN b) NB c) Decision Tree d) ANN e) SVM
3. Report the predictive performance of your models in terms of error rates (the confusion matrix). How well does the model perform? (5)
4. Based on your analysis which model would you recommend and why? (5)
Hire a Professional Essay & Assignment Writer for completing your Academic Assessments
Elevate your academic journey with our specialized services! At Report Writing Services Singapore, we recognize the unique challenges faced by students at Singapore Management University (SMU). Whether it's tackling GBA projects or navigating through complex group-based assignments like Predictive Analytics, we've got you covered. Our assignment help online platform connects you with experts who can provide invaluable insights and assistance. Don't let academic stress hold you back. Join us today and experience how our dedicated team can help you conquer your academic goals, just like the taxi company Yourcabs.com overcame its challenges in Bangalore, India.
- ELG101: Discovering Language Assignment, SUSS, Singapore: Speakers are creative users of the languages they speak. In our everyday interaction
- ELG101: Discovering Language Assignment, SUSS, Singapore: Demonstrate the articulation of the words in the above data set using the International Phonetic
- Principles of Project Management Individual Assignment, SUSS, Singapore: You are appointed a Project Manager in charge of organising and planning a project
- COR2223: Frontiers of Modern Computing Final Written Assignment, SMU, Singapore: Write a short story imagining a future scenario and how one or more of the modern computing technologies
- AC2101: Accounting Recognition and Measurement Assignment, NTU, Singapore: If NTU-C were to record the abovementioned transactions on 31 January, 28 February and 15 March 20×2
- BSE217: Motor Development, Control and Learning Assignment, SUSS, Singapore: Create a rating scale or categories of differentiation to rate the movement proficiencies of the individual
- BSE217: Motor Development, Control and Learning Assignment, SUSS, Singapore: Discuss the main theoretical foundations of Ecological Dynamics Theory
- NCO201: Learn To Learn, Learn For Life Tutor-Marked Assignment 2, SUSS, Singapore: Create a learning plan. Use this template to create your learning plan
- NCO201: Learn To Learn, Learn For Life Tutor-Marked Assignment 2, SUSS, Singapore: Self-reflection is a critical part of learning. By looking back at your process and analysing
- BPM301: LCC and Sustainable Design and Construction Assignment, SUSS, Singapore: A developer is building a new 3-storey sports complex on a 10-year leasehold land
UP TO 15 % DISCOUNT