Question
Asked 13 April 2016
Bhawana Mathur
Bhawana Mathur
  • Sri Balaji College of Engineering and Technology

Weigth Sum and precision in Naive Bayes Classifier and UML Class Diagram?

  1. All version 1 and version 2 of open source softwrae of all input instance Weight sum amd precision value getting same . Why?
  2. I take 22 different UML Class diagrams (sample)of 2 different variables(Size Metrics and Structure Complexity Metrics) and first one(Size Metrics) contain 4 independent varaibles(Response for a Class (RFC ),Number of Attributes (NOA),Total Number of Methods (NOM),(WMC) and second one (Structure Complexity Metrics)contains 7 independent variables (Number of Children (NOC),(NC),Number of Relation,NGen,MaxDIT,NAggH,NGenH.In this situation which statistacally test/Soft Computing techniques can be applied in this situation ? why ?
Complexity Metrics
Structural Complexity
Soft Computing Techniques
Soft Computing

All Answers (1)

Lov Kumar
National Institute of Technology, Kurukshetra
Your data size is very small. Try to collect some more data and they do analysis.
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