title: Logistic regression to predict a buy
body: <p>I have 3 years data of international importers buying raw materials from various countries. Data consists of:</p>
  
  <p>Product code, Buyer Country, Buyer Name, Destination port, Seller Country, Seller Name, Origin port, unit, Value(USD), Unit Price.</p>
  
  <p>I would like to predict if a particular buyer will be looking to make a buy transaction in the next week. Logistic regression came as a natural choice for this. However, looking at the data it only has positive outcomes, should I balance the data for having both positive and negative outcomes?</p>
  
  <p>So if I am looking at a weekly prediction, should I aggregate all of that buyer's transaction for a week and add a negative outcome row in whichever week there has not been a transaction?</p>