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DTSTART;TZID=America/New_York:20250317T000000
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DESCRIPTION:On March 17\, we will be launching our IEEE internal coding com
 petition on Kaggle. This competition focuses on binary classification usin
 g a bank churn dataset. Here are the details:\n\nLink to Competition site:
  https://www.kaggle.com/competitions/binary-classification-w-bank-churn-da
 taset-shu/overview\n\nCompetition Overview:\n\n-\nObjective: Predict wheth
 er a customer will continue with their bank account or close it (i.e.\, ch
 urn). For each id in the test set\, you must predict the probability for t
 he target variable Exited.\n\n-\nDataset: The dataset includes various fea
 tures such as customer credit score\, age\, tenure\, balance\, number of p
 roducts\, and more. There is a train.csv file which should be used to trai
 n your model\, and a test.csv file which should be used to test your model
 &#39;s performance.\n\n-\nDates: March 17\, 2025 - March 31\, 2025. All final 
 submissions must be turned in before midnight on March 31.\n\n-\nSubmissio
 ns: Each participant can make up to 5 submissions per day. There is a subm
 ission format that must be followed (please see the sample_submission.csv 
 file on the Kaggle site linked above). Submissions are evaluated on area u
 nder the ROC curve between the predicted probability and the observed targ
 et.\n\n-\nPrizes: There will be Seton Hall University merchandise (mugs an
 d pens) awarded as prizes to the top 3 scorers in the competition.\n\nHow 
 to Join:\n\n-\nClick on the link listed above.\n- Click on the &quot;Join Compe
 tition&quot; button on the competition page.\n- Follow the instructions to acce
 pt the rules and join the competition.\n\nHow to Make Submissions:\n\n-\nP
 repare your model and generate predictions based on the provided dataset. 
 This should ultimately generate a CSV file formatted like the sample_submi
 ssion.csv file on the Kaggle site.\n-\nNavigate to the Submissions tab on 
 the competition page and click on &quot;Submit Prediction&quot;.\n-\nUpload your sub
 mission file and click &quot;Submit&quot;.\n\nWe encourage all members to participat
 e and showcase their skills. This is a great opportunity to learn\, compet
 e\, and have fun!\n\nVirtual: https://events.vtools.ieee.org/m/471471
LOCATION:Virtual: https://events.vtools.ieee.org/m/471471
ORGANIZER:jennifer.lawless@student.shu.edu
SEQUENCE:32
SUMMARY:IEEE Internal Coding Competition
URL;VALUE=URI:https://events.vtools.ieee.org/m/471471
X-ALT-DESC:Description: &lt;br /&gt;&lt;div class=&quot;x_elementToProof&quot; data-olk-copy-s
 ource=&quot;MessageBody&quot;&gt;On March 17\, we will be launching our IEEE internal c
 oding competition on Kaggle. This competition focuses on binary classifica
 tion using a bank churn dataset. Here are the details:&lt;/div&gt;\n&lt;div class=&quot;
 x_elementToProof&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&lt;strong&gt;Lin
 k to Competition site:&amp;nbsp\;&lt;/strong&gt;&lt;a id=&quot;LPlnk277977&quot; class=&quot;x_OWAAuto
 Link&quot; title=&quot;https://www.kaggle.com/competitions/binary-classification-w-b
 ank-churn-dataset-shu/overview&quot; href=&quot;https://www.kaggle.com/competitions/
 binary-classification-w-bank-churn-dataset-shu/overview&quot; data-auth=&quot;NotApp
 licable&quot; data-linkindex=&quot;0&quot;&gt;https://www.kaggle.com/competitions/binary-cla
 ssification-w-bank-churn-dataset-shu/overview&lt;/a&gt;&lt;/div&gt;\n&lt;div class=&quot;x_ele
 mentToProof&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&lt;strong&gt;Competit
 ion Overview:&lt;/strong&gt;&lt;/div&gt;\n&lt;ul&gt;\n&lt;li&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&lt;s
 trong&gt;Objective:&lt;/strong&gt;&amp;nbsp\;Predict whether a customer will continue w
 ith their bank account or close it (i.e.\, churn). For each&amp;nbsp\;&lt;code&gt;id
 &amp;nbsp\;&lt;/code&gt;in the test set\, you must predict the probability for the t
 arget variable&amp;nbsp\;&lt;code&gt;Exited&lt;/code&gt;.&lt;/div&gt;\n&lt;div&gt;\n&lt;div class=&quot;x_elem
 entToProof&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;/div&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;div class=&quot;x_elementToPro
 of&quot;&gt;&lt;strong&gt;Dataset:&lt;/strong&gt;&amp;nbsp\;The dataset includes various features 
 such as customer credit score\, age\, tenure\, balance\, number of product
 s\, and more. There is a train.csv file which should be used to train your
  model\, and a test.csv file which should be used to test your model&#39;s per
 formance.&lt;/div&gt;\n&lt;div&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;/div
 &gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;div&gt;&lt;strong&gt;Dates:&lt;/strong&gt;&amp;nbsp\;March 17\, 2025 - March
  31\, 2025. All final submissions must be turned in before midnight on Mar
 ch 31.&lt;/div&gt;\n&lt;div&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;/div&gt;\n
 &lt;/li&gt;\n&lt;li&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&lt;strong&gt;Submissions:&lt;/strong&gt;&amp;n
 bsp\;Each participant can make up to 5 submissions per day. There is a sub
 mission format that must be followed (please see the sample_submission.csv
  file on the Kaggle site&amp;nbsp\;linked above). Submissions are evaluated on
  area under the ROC curve between the predicted probability and the observ
 ed target.&lt;/div&gt;\n&lt;div&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;/di
 v&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&lt;strong&gt;Prizes:&amp;nbsp\;&lt;/str
 ong&gt;There will be Seton Hall University merchandise (mugs and pens) awarde
 d as prizes to the top 3 scorers in the competition.&lt;/div&gt;\n&lt;/li&gt;\n&lt;/ul&gt;\n
 &lt;div class=&quot;x_elementToProof&quot;&gt;&lt;strong&gt;How to Join:&lt;/strong&gt;&lt;/div&gt;\n&lt;ol sta
 rt=&quot;1&quot;&gt;\n&lt;li&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;Click on the link listed abov
 e.&lt;/div&gt;\n&lt;/li&gt;\n&lt;li&gt;Click on the &quot;Join Competition&quot; button on the competi
 tion page.&lt;/li&gt;\n&lt;li&gt;Follow the instructions to accept the rules and join 
 the competition.&lt;/li&gt;\n&lt;/ol&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;&lt;strong&gt;How to
  Make Submissions:&lt;/strong&gt;&lt;/div&gt;\n&lt;ol start=&quot;1&quot;&gt;\n&lt;li&gt;\n&lt;div&gt;Prepare your
  model and generate predictions based on the provided dataset. This should
  ultimately generate a CSV file formatted like the sample_submission.csv f
 ile on the Kaggle site.&lt;/div&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;
 Navigate to the Submissions tab on the competition page and click on &quot;Subm
 it Prediction&quot;.&lt;/div&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;div&gt;Upload your submission file and c
 lick &quot;Submit&quot;.&lt;/div&gt;\n&lt;/li&gt;\n&lt;/ol&gt;\n&lt;div class=&quot;x_elementToProof&quot;&gt;We encou
 rage all members to participate and showcase their skills. This is a great
  opportunity to learn\, compete\, and have fun!&lt;/div&gt;
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