title: Interpretation of a Multilayer Perceptron Modeling Result on Weka
body: <p>I'm generating a power model using Multilayer Perceptron on Weka which is a statistic toolbox.</p>
  
  <p>Weka shows following generated power model, however, I don't know how to interpret it.</p>
  
  <p>How can I calculate the predicted value using this model generated by Weka? I want to know how to calculate it by hand with the model.</p>
  
  <p>Thanks.</p>
  
  <pre><code>=== Classifier model (full training set) ===
  
  Linear Node 0
      Inputs    Weights
      Threshold    -0.040111709313733535
      Node 1    -1.8468414006209548
      Node 2    0.8245441127585728
      Node 3    -0.6384807874184006
      Node 4    -0.7484784535220612
  Sigmoid Node 1
      Inputs    Weights
      Threshold    -0.24446294747264816
      Attrib CPU-User    -0.608249350584644
      Attrib CPU-System    0.13288901868419942
      Attrib CPU-Idle    1.0072001456456134
      Attrib GPS    0.39886318520181463
      Attrib WIFI    2.661390547312707
      Attrib Disk-Write    3.3144190265114104
      Attrib Screen    -0.18379082022126372
  Sigmoid Node 2
      Inputs    Weights
      Threshold    -0.04552879905091134
      Attrib CPU-User    1.2010400180021503
      Attrib CPU-System    -0.415901207849663
      Attrib CPU-Idle    -1.8201808907618635
      Attrib GPS    0.3297713837591742
      Attrib WIFI    2.670046643619425
      Attrib Disk-Write    1.0132120671943607
      Attrib Screen    1.5785512067159402
  Sigmoid Node 3
      Inputs    Weights
      Threshold    -7.438472914350278
      Attrib CPU-User    -6.382669043988483
      Attrib CPU-System    -1.6622872921207548
      Attrib CPU-Idle    -0.12729502604878612
      Attrib GPS    -0.9716992577028621
      Attrib WIFI    0.6911695390337304
      Attrib Disk-Write    -1.1769266028873722
      Attrib Screen    0.5101113538728531
  Sigmoid Node 4
      Inputs    Weights
      Threshold    -5.509838959208244
      Attrib CPU-User    -0.3709271557180943
      Attrib CPU-System    -1.7448007514288941
      Attrib CPU-Idle    -0.08176108597065958
      Attrib GPS    -1.0234447340811823
      Attrib WIFI    -1.5759133030274077
      Attrib Disk-Write    0.2376861365371351
      Attrib Screen    -1.5654514081278506
  Class 
      Input
      Node 0
  
  
  Time taken to build model: 0.81 seconds
  
  === Predictions ontest split===
  
  inst#,    actual, predicted, error
       1 153727.273 169587.843  15860.57 
       2 159036.364 168657.043   9620.68 
       ....
  </code></pre>