setupEval(eval, classifier, inst, costMatrix, plotInstances, classificationOutput, false); eval.setMetricsToDisplay(m_selectedEvalMetrics); setupEval(eval, classifier, inst, costMatrix, plotInstances, classificationOutput, false); eval.setMetricsToDisplay(m_selectedEvalMetrics); setupEval(eval, classifier, train, costMatrix, plotInstances, classificationOutput, true); eval.setMetricsToDisplay(m_selectedEvalMetrics); setupEval(eval, classifier, train, costMatrix, plotInstances, classificationOutput, false); eval.setMetricsToDisplay(m_selectedEvalMetrics); classificationOutput, false); plotInstances.setInstances(userTestStructure); eval.setMetricsToDisplay(m_selectedEvalMetrics);
setupEval(eval, classifier, inst, costMatrix, plotInstances, classificationOutput, false); eval.setMetricsToDisplay(m_selectedEvalMetrics); setupEval(eval, classifier, inst, costMatrix, plotInstances, classificationOutput, false); eval.setMetricsToDisplay(m_selectedEvalMetrics); setupEval(eval, classifier, train, costMatrix, plotInstances, classificationOutput, true); eval.setMetricsToDisplay(m_selectedEvalMetrics); setupEval(eval, classifier, train, costMatrix, plotInstances, classificationOutput, false); eval.setMetricsToDisplay(m_selectedEvalMetrics); classificationOutput, false); plotInstances.setInstances(userTestStructure); eval.setMetricsToDisplay(m_selectedEvalMetrics);
+ ") on test set"); eval = new Evaluation(userTestStructure, costMatrix); eval.setMetricsToDisplay(m_selectedEvalMetrics);
+ ") on test set"); eval = new Evaluation(userTestStructure, costMatrix); eval.setMetricsToDisplay(m_selectedEvalMetrics);
eval.setMetricsToDisplay(m_metricsList); } else { eval = new Evaluation(m_trainData); adjustForInputMappedClassifier(eval, m_classifier, m_trainData, plotInstances); eval.setMetricsToDisplay(m_metricsList);
eval.setMetricsToDisplay(m_metricsList); } else { eval = new Evaluation(m_trainData); adjustForInputMappedClassifier(eval, m_classifier, m_trainData, plotInstances); eval.setMetricsToDisplay(m_metricsList);
eval.setMetricsToDisplay(m_metricsList); } else { eval = new Evaluation(m_trainData, m_cMatrix); adjustForInputMappedClassifier(eval, m_classifier, m_trainData, plotInstances, m_cMatrix); eval.setMetricsToDisplay(m_metricsList);
eval.setMetricsToDisplay(m_metricsList); } else { eval = new Evaluation(m_trainData, m_cMatrix); adjustForInputMappedClassifier(eval, m_classifier, m_trainData, plotInstances, m_cMatrix); eval.setMetricsToDisplay(m_metricsList);