# UCL CoMPLEX MRes module — Data

来源：https://www.kaggle.com/competitions/UCL/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<div id="data-desc">
<div><div><div>These sequences are from patients who had only recently contracted HIV-1 and had not been treated before.</div><div><br /></div><div>The Dataset is organized as follows:</div><div>Col-1: patient ID</div><div>Col-2: responder status ("1" for patients who improved and "0" otherwise)<br /></div><div>Col-3: Protease nucleotide sequence (if available)</div><div>Col-4: Reverse Transciptase nucleotide sequence (if available)</div><div>Col-5: viral load at the beginning of therapy  (log-10 units) </div><div>Col-6: CD4 count at the beginning of therapy</div><div><br /></div><div>The
 Responder status indicates whether the patient improved after 16 weeks 
of therapy.  Improvement is defined as a 100-fold decrease in the HIV-1 
viral load.</div><div><br /></div><div>There's a brief description of 
Protease nucleotide sequence, Reverse Transciptase nucleotide sequence, 
viral load and CD4 count on the background page. </div><div><br /></div><div>training_data.csv is the training dataset used to calibrate your model. </div><div>test_data.csv is the test datset used to generate submissions.<br /><br />Your submission must contain predictions for 692 patients. <br />Submissions must be in CSV format. template.csv is a submission template. You are expected to fill your predicted responder status in column 2. A responder status of 1 indicates that a patient has improved; or 0 otherwise. example.csv is an example submission.<br /></div></div></div></div>