Examples of auc()

Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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      }
      line = in.readLine();
    }

    System.out.printf("%d lines read\n", lineCount);
    System.out.printf("%10.2f = batch estimate\n", x1.auc());
    System.out.printf("%10.2f = on-line estimate\n", x2.auc()); 
    }
}
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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        collector.add(target, score);
        line = in.readLine();
      }

      if (showAuc) {
        System.out.printf("AUC = %.2f\n", collector.auc());
      }
      if (showConfusion) {
        Matrix m = collector.confusion();
        System.out.printf("confusion: [[%.1f, %.1f], [%.1f, %.1f]]\n",
            m.get(0, 0), m.get(1, 0), m.get(0, 1), m.get(1, 1));
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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      output.printf(Locale.ENGLISH,"\nLog-likelihood:");
      output.printf(Locale.ENGLISH, "Min=%.2f, Max=%.2f, Mean=%.2f, Median=%.2f\n",
          slh.getMin(), slh.getMax(), slh.getMean(), slh.getMedian());

      if (collector != null) {       
        output.printf(Locale.ENGLISH, "\nAUC = %.2f\n", collector.auc());       
      }
     
      if (showConfusion) {
        output.printf(Locale.ENGLISH, "\n%s\n\n", cm.toString());
       
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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      }

      stats[0].add(a1.auc());
      stats[1].add(a2.auc());
      stats[2].add(a3.auc());
      stats[3].add(a4.auc());
    }
   
    int i = 0;
    for (GlobalOnlineAuc.ReplacementPolicy policy : new GlobalOnlineAuc.ReplacementPolicy[]{FAIR, FIFO, RANDOM, null}) {
      OnlineSummarizer summary = stats[i++];
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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      output.printf(Locale.ENGLISH,"\nLog-likelihood:");
      output.printf(Locale.ENGLISH, "Min=%.2f, Max=%.2f, Mean=%.2f, Median=%.2f%n",
          slh.getMin(), slh.getMax(), slh.getMean(), slh.getMedian());

      if (collector != null) {       
        output.printf(Locale.ENGLISH, "%nAUC = %.2f%n", collector.auc());
      }

      if (showConfusion) {
        output.printf(Locale.ENGLISH, "%n%s%n%n", cm.toString());
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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        collector.add(target, score);
        line = in.readLine();
      }

      if (showAuc) {
        output.printf(Locale.ENGLISH, "AUC = %.2f%n", collector.auc());
      }
      if (showConfusion) {
        Matrix m = collector.confusion();
        output.printf(Locale.ENGLISH, "confusion: [[%.1f, %.1f], [%.1f, %.1f]]%n",
          m.get(0, 0), m.get(1, 0), m.get(0, 1), m.get(1, 1));
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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      }

      stats[0].add(a1.auc());
      stats[1].add(a2.auc());
      stats[2].add(a3.auc());
      stats[3].add(a4.auc());
    }
   
    int i = 0;
    for (GlobalOnlineAuc.ReplacementPolicy policy : new GlobalOnlineAuc.ReplacementPolicy[] {
                                                      GlobalOnlineAuc.ReplacementPolicy.FAIR,
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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        collector.add(target, score);
        line = in.readLine();
      }

      if (showAuc) {
        output.printf(Locale.ENGLISH, "AUC = %.2f\n", collector.auc());
      }
      if (showConfusion) {
        Matrix m = collector.confusion();
        output.printf(Locale.ENGLISH, "confusion: [[%.1f, %.1f], [%.1f, %.1f]]\n",
          m.get(0, 0), m.get(1, 0), m.get(0, 1), m.get(1, 1));
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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      output.printf(Locale.ENGLISH,"\nLog-likelihood:");
      output.printf(Locale.ENGLISH, "Min=%.2f, Max=%.2f, Mean=%.2f, Median=%.2f\n",
          slh.getMin(), slh.getMax(), slh.getMean(), slh.getMedian());

      if (collector != null) {       
        output.printf(Locale.ENGLISH, "\nAUC = %.2f\n", collector.auc());       
      }
     
      if (showConfusion) {
        output.printf(Locale.ENGLISH, "\n%s\n\n", cm.toString());
       
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Examples of org.apache.mahout.classifier.evaluation.Auc.auc()

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        collector.add(target, score);
        line = in.readLine();
      }

      if (showAuc) {
        output.printf(Locale.ENGLISH, "AUC = %.2f\n", collector.auc());
      }
      if (showConfusion) {
        Matrix m = collector.confusion();
        output.printf(Locale.ENGLISH, "confusion: [[%.1f, %.1f], [%.1f, %.1f]]\n",
          m.get(0, 0), m.get(1, 0), m.get(0, 1), m.get(1, 1));
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