double prec = eTest.weightedPrecision(); double rec = eTest.weightedRecall(); double f1 = eTest.weightedFMeasure(); double accuracy = (eTest.correct()) / (eTest.incorrect() + eTest.correct());
results.put(PCT_INCORRECT, eval.pctIncorrect()); results.put(PCT_UNCLASSIFIED, eval.pctUnclassified()); results.put(WGT_FMEASURE, eval.weightedFMeasure()); results.put(WGT_PRECISION, eval.weightedPrecision()); results.put(WGT_RECALL, eval.weightedRecall());
result[current++] = new Double(eval.weightedPrecision()); result[current++] = new Double(eval.weightedRecall()); result[current++] = new Double(eval.weightedFMeasure()); result[current++] = new Double(eval.weightedMatthewsCorrelation()); result[current++] = new Double(eval.weightedAreaUnderROC());
result[current++] = new Double(eval.weightedPrecision()); result[current++] = new Double(eval.weightedRecall()); result[current++] = new Double(eval.weightedFMeasure()); result[current++] = new Double(eval.weightedMatthewsCorrelation()); result[current++] = new Double(eval.weightedAreaUnderROC());
case EVAL_FMEASURE: if (m_IRClassVal < 0) { evalMetric = evaluation.weightedFMeasure(); } else { evalMetric = evaluation.fMeasure(m_IRClassVal);
case EVAL_FMEASURE: if (m_IRClassVal < 0) { evalMetric = evaluation.weightedFMeasure(); } else { evalMetric = evaluation.fMeasure(m_IRClassVal);
case EVAL_FMEASURE: if (m_IRClassVal < 0) { evalMetric = evaluation.weightedFMeasure(); } else { evalMetric = evaluation.fMeasure(m_IRClassVal);
case EVAL_FMEASURE: if (m_IRClassVal < 0) { evalMetric = evaluation.weightedFMeasure(); } else { evalMetric = evaluation.fMeasure(m_IRClassVal);
case EVAL_FMEASURE: if (m_IRClassVal < 0) { repError[i] = m_Evaluation.weightedFMeasure(); } else { repError[i] = m_Evaluation.fMeasure(m_IRClassVal);
case EVAL_FMEASURE: if (m_IRClassVal < 0) { repError[i] = m_Evaluation.weightedFMeasure(); } else { repError[i] = m_Evaluation.fMeasure(m_IRClassVal);
return m_Evaluation.fMeasure(classLabel); case DefaultEvaluationMetrics.EVALUATION_WEIGHTED_FMEASURE: return m_Evaluation.weightedFMeasure(); case DefaultEvaluationMetrics.EVALUATION_TRUE_POSITIVE_RATE: return m_Evaluation.truePositiveRate(classLabel);