I. Feature:
「Info」: 1 row represents a patient. 「共病症_Comorbidities」: A number indicates that the patient has a comorbid condition, and the label "0" means that there is no comorbid condition.
「TPR」: Time series data of "temperature, pulse, breathing rate, systolic blood pressure, diastolic blood pressure". The same "No" means the data of the same patient.
If you want to merge the two sheets "Info" and "TPR", you can use "No" as the merge index. Please note that "No" is the patient ID and you should not train it as a Feature otherwise your Model will learn the wrong information.
II. Submitted file name and format:
1. <your-student ID>.csv
▪ This file is your predict result for test data.
▪ Please rename your "Submission.csv" to "<your-student ID>.csv" EX: 0760406.csv
▪ 「Target」column only can be 0 or 1.
▪ The entire CSV file can only have two columns.
2. <your-student ID>_Report.pdf
◦ File name: <your-student ID>_Report.pdf
◦ EX: 0760406_Report.pdf
◦ Size: 12
◦ Font：Times New Roman
◦ Include:
The content must include "Data preprocessing", "Formula", "Validation method".
Can be increased if necessary.
III. Submission:
◦ Please upload the zip to e-Campus system "Project_01".
IV. Rule
Items that will lose points
Project Score
Any wrong file name
-20%
Any format error
-20%
Late project per day
-20%
Item
Total score for the entire semester
F1_score
10%
(base on Target=1)
Project Report
10%
*−=∗
( ∗ )
=
( + )
( + + )
TP: True Postive
TN: True Negetive
FP: False Postive
V. Deadline
- 2020/11/11 (Wed.)
AM 12:00 TA will upload Test file
- 2020/11/13 (Fri.)
PM 11:50 upload deadline.
