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INFS4203/7203 Project Phase II (20 marks) 

Semester 2, 2021 

Due date: 

16:00 on 29th October 2021(Brisbane Time) (Phase II, 20%) 

All assignments should be submitted to UQ Blackboard only. If any assignment is failed to be submitted 

appropriately before due, a penalty will be applied according to ECP. It is your responsibility to ensure 

your submission is successful before due time. Email submission will not be accepted. 

Overview 

In Phase II, you will implement your proposal submitted in Phase I, with necessary adjustment according 

to the empirical performance and the feedback from the proposal. This is an individual assignment. The 

completion of the assignment should be based on your own design and feedback from the proposal. 

Track 1: Data-oriented project 

In Phase II, you will be provided with the test data named Ecoli_test.csv. The first row describes features’ 

names. Except the first row, each row in the data file corresponds to one data point. There are 917 test 

data points in this file, and each column represents the same feature as the training data Ecoli.csv. Note 

that the test data only has 116 columns, without labels, i.e., the final column “Target (Column 117)” in 

Ecoli.csv. 

In this phase, you will need to implement the ideas in your proposal and use them to classify the test data. 

You need to submit 

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A result report on 

o Test result: the prediction on test data and 

o Evaluation result: the evaluated accuracy and F1 on the training data using cross

validation. 

• 

A readme file with clear and thorough description of your coding environment (operation system, 

programming language and its version, additional packages installed etc.) and instructions on how 

to run the code such that your reported test and evaluation results can be reproduced. 

• 

Your implemented code which has a main function to generate the test and evaluation results of 

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Format 

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The result report should be named as sxxxxxxx.csv (sxxxxxxx is your student username). For 

example, if your student username is s1234567, then the result report should be named as 

s1234567.csv. 

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The result report should be composed of 918 rows. For the first 917 rows, the