title: Curse of the SKlearn Classifiers
body: <p>Suppose we have 1,000 beads 900 red and 100 blue ones. When I run the problem through SKlearn classifier ensembles,</p>
  
  <p><strong>score = clf.score(X_test, y_test)</strong></p>
  
  <p>They come up with scores of around .9 however, when I look at the predictions I see that it has predicted all of them to be Red and this is how it comes up with %90 accuracy! Please tell me what I'm doing wrong? Better yet, what does it mean when this happens? Is there a better way to measure accuracy? </p>