Examples of weka.classifiers.evaluation.CostCurve

weka.classifiers.evaluation.CostCurve
Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes. For example, the typical threshold value of 0.5 means the predicted probability of "positive" must be higher than 0.5 for the instance to be predicted as "positive". @author Mark Hall (mhall@cs.waikato.ac.nz) @version $Revision: 1.9 $

  JMenuItem clv = new JMenuItem(classAtt.value(i));
  final int classValue = i;
  clv.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        try {
    CostCurve cc = new CostCurve();
    Instances result = cc.getCurve(preds, classValue);
    VisualizePanel vmc = new VisualizePanel();
    vmc.setLog(m_Log);
    vmc.setName(result.relationName()+". (Class value "+
          classAtt.value(classValue)+")");
    PlotData2D tempd = new PlotData2D(result);

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  JMenuItem clv = new JMenuItem(classAtt.value(i));
  final int classValue = i;
  clv.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        try {
    CostCurve cc = new CostCurve();
    Instances result = cc.getCurve(preds, classValue);
    VisualizePanel vmc = new VisualizePanel();
    vmc.setLog(m_Log);
    vmc.setName(result.relationName()+Messages.getInstance().getString("ClassifierPanel_Visualize_VMC_SetName_Text_Third") +
          classAtt.value(classValue) + Messages.getInstance().getString("ClassifierPanel_Visualize_VMC_SetName_Text_Fourth"));
    PlotData2D tempd = new PlotData2D(result);

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  JMenuItem clv = new JMenuItem(classAtt.value(i));
  final int classValue = i;
  clv.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        try {
    CostCurve cc = new CostCurve();
    Instances result = cc.getCurve(preds, classValue);
    VisualizePanel vmc = new VisualizePanel();
    vmc.setLog(m_Log);
    vmc.setName(result.relationName()+". (Class value "+
          classAtt.value(classValue)+")");
    PlotData2D tempd = new PlotData2D(result);

View Full Code Here

  JMenuItem clv = new JMenuItem(classAtt.value(i));
  final int classValue = i;
  clv.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
        try {
    CostCurve cc = new CostCurve();
    Instances result = cc.getCurve(preds, classValue);
    VisualizePanel vmc = new VisualizePanel();
    vmc.setLog(m_Log);
    vmc.setName(result.relationName()+". (Class value "+
          classAtt.value(classValue)+")");
    PlotData2D tempd = new PlotData2D(result);

View Full Code Here

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Related Classes of weka.classifiers.evaluation.CostCurve

weka.classifiers.Classifier

weka.core.Attribute

weka.core.DenseInstance

weka.core.FastVector

weka.core.Instance

weka.core.Instances

weka.gui.explorer.ClassifierPanel

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