title: Can anyone explain me what this output exactly says?
body: <p>I'm using WEKA with "weather.arff" dataset and then I applied Naive-Bayes classifier with 10-fold cross validation as you can see in the given snapshot. I understand pretty much all except the things that I marked as red in the picture. </p>
  
  <p>There are <code>9(Yes)+ 5(No) = 14</code> all together but here these sums exceed the total. And what is this <code>yes(0.63)</code> and <code>No(0.38)</code> mean? Are they related to the performance of the classifier after 10-fold CV?</p>
  
  <pre><code>outlook
    sunny             3.0     4.0
    overcast          5.0     1.0
    rainy             4.0     3.0
    [total]          12.0     8.0
  </code></pre>
  
  <p>This total here is <code>20.0</code>, but we have <code>14</code> instances?
  what these each Sunny, Overcast, and rainy Yes and No counts?
  Where did they come from? </p>
  
  <p>what is this weighted sum? How to calculate and how does that relates to NB?</p>
  
  <p><img src="https://i.stack.imgur.com/1TX4G.png" alt="Click Here to see the picture"></p>