All Downloads are FREE. Search and download functionalities are using the official Maven repository.
  • Log In
  • Register

    • weka.gui.beans.templates.ROCcurves.kfml Maven / Gradle / Ivy

    Go to download

    The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

    There is a newer version: 3.9.6
    Show newest version
    


   
   
   
      
   
   
]
>


   
      
         0
         76
         369
         ArffLoader
         
            
               weka/gui/beans/templates/credit-g.arff
               false
            
            
               true
               
            
         
      
      
         1
         76
         240
         ClassAssigner
         
            last
         
      
      
         2
         396
         80
         CrossValidationFoldMaker
         
            false
            1
            10
         
      
      
         3
         716
         240
         ClassifierPerformanceEvaluator
         
            2
         
      
      
         4
         516
         240
         TextViewer
         
            
            
               true
               
            
            
               
               TextViewer
               weka/gui/beans/icons/DefaultText.gif
               weka/gui/beans/icons/DefaultText_animated.gif
            
            TextViewer
         
      
      
         5
         716
         409
         ModelPerformanceChart
         
            
               
               ModelPerformanceChart
               weka/gui/beans/icons/ModelPerformanceChart.gif
               weka/gui/beans/icons/ModelPerformanceChart_animated.gif
            
            
            Weka Chart Renderer
            400
            ModelPerformanceChart
            
            
               true
               
            
            500
            
            
         
      
      
         6
         108
         438
         
            Double click to configure me
with your own ARFF file
            
            -1
         
      
      
         7
         174
         245
         
            Double click to
specify the class
attribute
            
            -1
         
      
      
         8
         540
         175
         
            Performance results
reported here. Right-click
and choose "show results"
            
            -1
         
      
      
         9
         630
         338
         
            Right-click and select 
"show chart" to see
ROC curves for both
classifiers
            
            -1
         
      
      
         10
         396
         280
         Logistic
         
            
               false
               
                  -R
                  1.0E-8
                  -M
                  -1
                  
               
            
            false
            2
         
      
      
         11
         516
         409
         ClassifierPerformanceEvaluator
         
            2
         
      
      
         12
         76
         80
         ClassValuePicker
         
            good
         
      
      
         13
         185
         132
         
            Double click to
choose the class
value to be considered
as the "positive" class
            
            -1
         
      
      
         14
         716
         80
         RandomForest
         
            
               false
               
                  -I
                  10
                  -K
                  0
                  -S
                  1
                  -num-slots
                  1
               
            
            false
            2
         
      
      
         15
         364
         24
         
            <html><b>NOTE: this flow is configured to run out of the box.</b> It loads an ARFF file as a resource from the classpath. If you want 
to use your own data, edit the ArffLoader.</html>
            
            -1
         
      
   
   
      
         0
         1
         dataSet
         false
      
      
         3
         4
         text
         false
      
      
         2
         10
         trainingSet
         false
      
      
         2
         10
         testSet
         false
      
      
         10
         11
         batchClassifier
         false
      
      
         3
         5
         thresholdData
         false
      
      
         11
         5
         thresholdData
         false
      
      
         11
         4
         text
         false
      
      
         1
         12
         dataSet
         false
      
      
         12
         2
         dataSet
         false
      
      
         2
         14
         trainingSet
         false
      
      
         2
         14
         testSet
         false
      
      
         14
         3
         batchClassifier
         false
      
   

    
    
    
    

    




    
    
    © 2015 - 2024 Weber Informatics LLC | Privacy Policy