Examples of confusion()

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

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      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));
        m = collector.entropy();
        System.out.printf("entropy: [[%.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.confusion()

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      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));
        m = collector.entropy();
        output.printf(Locale.ENGLISH, "entropy: [[%.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.confusion()

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      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));
        m = collector.entropy();
        output.printf(Locale.ENGLISH, "entropy: [[%.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.confusion()

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      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));
        m = collector.entropy();
        output.printf(Locale.ENGLISH, "entropy: [[%.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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