boolean handleMissingPredictors = canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, true, false, 20)[0]; if (handleMissingPredictors) { canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, true, false, 100); boolean handleMissingClass = canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, false, true, 20)[0]; if (handleMissingClass) { canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, false, true, 100);
boolean handleMissingPredictors = canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, true, false, 20)[0]; if (handleMissingPredictors) { canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, true, false, 100); boolean handleMissingClass = canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, false, true, 20)[0]; if (handleMissingClass) { canHandleMissing(PNom, PNum, PStr, PDat, PRel, multiInstance, classType, false, true, 100);
boolean[] result; result = m_Tester.canHandleMissing( m_NominalPredictors[type], m_NumericPredictors[type],
boolean[] result; result = m_Tester.canHandleMissing( m_NominalPredictors[type], m_NumericPredictors[type],
boolean[] result; result = m_Tester.canHandleMissing( m_NominalPredictors[type], m_NumericPredictors[type],
boolean[] result; result = m_Tester.canHandleMissing( m_NominalPredictors[type], m_NumericPredictors[type],