K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function
It differs from other instance-based learners in that it uses an entropy-based distance function.
For more information on K*, see
John G.Cleary, Leonard E.
Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure.In: 12th International Conference on Machine Learning, 108-114, 1995.
(based on WEKA 3.7)
For further options, click the 'More' - button in the dialog.
All weka dialogs have a panel where you can specify classifier-specific parameters.
B: Manual blend setting (default 20%)
E: Enable entropic auto-blend setting (symbolic class only)
M: Specify the missing value treatment mode (default a) Valid options are: a(verage), d(elete), m(axdiff), n(ormal)
The Preliminary Attribute Check tests the underlying classifier against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.
Important: If a column is marked as 'incompatible', it does not necessarily mean that the classifier cannot be executed! Sometimes, the error message 'Cannot handle String class' simply means that no nominal values are available (yet). This may change during execution of the predecessor nodes.
Capabilities: [Nominal attributes, Binary attributes, Unary attributes, Empty nominal attributes, Numeric attributes, Date attributes, Missing values, Nominal class, Binary class, Numeric class, Date class, Missing class values] Dependencies:  min # Instance: 0
It shows the command line options according to the current classifier configuration and mainly serves to support the node's configuration via flow variables.
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