Examples of uk.ac.cam.ch.wwmm.ptclib.misc.ClassificationEvaluator.logEvent()

Class uk.ac.cam.ch.wwmm.ptclib.misc.ClassificationEvaluator

Examples of uk.ac.cam.ch.wwmm.ptclib.misc.ClassificationEvaluator.logEvent()

uk.ac.cam.ch.wwmm.ptclib.misc.ClassificationEvaluator.logEvent()
Records a prediction, and what the prediction should have been. @param standard What the prediction should have been. @param classifier What the prediction was.

      ce = new ClassificationEvaluator();
      DecisionList dl = new DecisionList(bagEvents);
      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        String result = dl.testBag(be.getFeatures());
        ce.logEvent(be.getClassLabel(), result);
      }
      System.out.println(ce.getAccuracy());
      System.out.println(ce.getKappa());      
      ce.pprintConfusionMatrix();
      ce.pprintPrecisionRecallEval();

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      for(int i=0;i<testBagEvents.size();i++) {
        BagEvent be = testBagEvents.get(i);
        //Map<String,Double> results = mnb.testBag(be.getClassLabel(), be.getFeatures());
        Map<String,Double> results = mnb.testBag(be.getFeatures());
        System.out.println(be.getClassLabel() + "\t" + mnb.testBag(be.getFeatures()));
        ce.logEvent(be.getClassLabel(), mnb.bestResult(results));
        if(!be.getClassLabel().equals(mnb.bestResult(results))) {
          System.out.println(be.getFeatures());
          System.out.println(bagsToSentences.get(be.getFeatures()));
        }
      }

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      for(Event event : testEvents) {
        double [] results = gm.eval(event.getContext());
        String result = results[gm.getIndex("TRUE")] > 0.5 ? "TRUE" : "FALSE";
        //String result = gm.getBestOutcome(results);
        //System.out.println(event.getOutcome() + "\t" + result + "\t" + results[gm.getIndex(event.getOutcome())] + "\t" + StringTools.arrayToList(event.getContext()));
        ce.logEvent(event.getOutcome(), result);
      }
      System.out.println(ce.getAccuracy());
      System.out.println(ce.getKappa());      
      ce.pprintConfusionMatrix();
      ce.pprintPrecisionRecallEval();

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    for(Event event : testData) {
      double [] results = gm.eval(event.getContext());
      String result = gm.getBestOutcome(results);
      System.out.println(event.getOutcome() + "\t" + result + "\t" + results[gm.getIndex(event.getOutcome())] + "\t" + StringTools.arrayToList(event.getContext()));
      ce.logEvent(event.getOutcome(), result);
    }
    System.out.println(ce.getAccuracy());
    System.out.println(ce.getKappa());
    ce.pprintConfusionMatrix();
    ce.pprintPrecisionRecallEval();

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