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+<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><h3>Context</h3>
+<p>Predicting the ovarian cancer using machine learning.</p>
+<h3>Content</h3>
+<p>Supplementary data 1: <br>
+It contains the original raw data.<br>
+Supplementary data 2:<br>
+It contains a list of biomarkers, their abbreviations, and their descriptions used in the study.<br>
+Supplementary data 3:<br>
+It contains the imputed version of the training data without the biomarker CA72-4.<br>
+Supplementary data 4:<br>
+It contains the raw training data.<br>
+Supplementary data 5:<br>
+It contains the raw test data.</p>
+<p>TARGET COLUMN = TYPE (1 - BOT  --- Benign Ovarian Tumor and 0 - OC --- Ovarian Cancer)</p>
+<h3>Acknowledgements</h3>
+<p>Mi, Qi; Jiang, Jingting; Znati, Ty; Fan, Zhenjiang; Li, Jundong; Xu, Bin; Chen, Lujun; Zheng, Xiao; Lu, Mingyang (2020), “Data for: USING MACHINE LEARNING TO PREDICT OVARIAN CANCER”, Mendeley Data, V11, doi: 10.17632/th7fztbrv9.11</p></div></div></div>
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