Final Examination-Angelakis Athanasios

1.

  • Angelakis_Athanasiosxls
  • Changed 4 Attributes from Numeric to Nominal
  • All Attributes better “error” than 11 Attributes
  • A-Function to NaiveBayes, NaiveBayesSimple and NaiveBayesUpdatable

2.

  • I used the FT Tree Algorithm -> 78.1234 C.C.I.
  • The size of the tree is 23 (nodes) and 12 Leaves

tree1

tree2

  • About the Errors…

Time taken to build model: 0.94 seconds

=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances         661              78.1324 %
Incorrectly Classified Instances       185              21.8676 %
Kappa statistic                            0.7082
Mean absolute error                        0.1155
Root mean squared error                    0.307
Relative absolute error                   30.8048 %
Root relative squared error               70.9179 %

  • The Algorithm was fast enough and the prediction was the best

 

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