TFloatRecord Type
Record type used to store parameteres learned for continuous attributes.

Unit
Classifier

Declaration

TFloatRecord = packed record
      Mean: double;
      StdDev: double;
      ExamplesCount: integer;
      Weight: double;
      Enabled: boolean;
    end;

Description
Stores the statistics learned about specific continuous (real valued) attribute during the learn phase. This includes total examples count and the statistics about the occurred values.

Values
Mean The average of all values encountered.
StdDev Standard deviation of all values encountered.
ExamplesCount Number of different learn examples included. This does not count the missing values.
Enabled True, if the attribute is to be included in the classification process.
Weight This value is 1 by default. It may be used to emphisize the value of the specific attribute towards the others.


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