title: Sklearn LogisticRegression predict_proba result look weird
body: <p>I am quite new to SKlearn, Machine learning and its related. I have searched for a day but still cannot figure out the answer.</p>
  
  <pre><code>model = LogisticRegression(C=1)
  model.fit(X, y)
  print(model.predict_proba(X_test))
  // output
  [[  1.01555532e-08   2.61926230e-01   7.37740949e-01   3.32810963e-04]]
  </code></pre>
  
  <p>I am quite confused whether the output is correct or not. When I tried on SVM with the same dataset, I got <code>[[ 0.21071225  0.42531172  0.01024818  0.35372784]]</code> which looks like probability and this is what I want. How can I make LogisticRegression model get the same probability style like SVM? What do I misunderstand?</p>