diff --git a/src/Learning/DTForest/DTDiscretizerMODL.cpp b/src/Learning/DTForest/DTDiscretizerMODL.cpp index 53ef284c5..c4093ebdf 100644 --- a/src/Learning/DTForest/DTDiscretizerMODL.cpp +++ b/src/Learning/DTForest/DTDiscretizerMODL.cpp @@ -290,7 +290,7 @@ void DTDiscretizerMODL::DiscretizeNEW(KWFrequencyTable* kwftSource, KWFrequencyT // delete kwftMergedTable; // kwftMergedTable = NULL; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; // Destruction de l'optimum precedent @@ -469,7 +469,7 @@ void DTDiscretizerMODL::DiscretizeOLD(KWFrequencyTable* kwftSource, KWFrequencyT delete kwftMergedTable; kwftMergedTable = NULL; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; // Destruction de l'optimum precedent @@ -630,7 +630,7 @@ void DTDiscretizerMODL::DiscretizeGranularizedFrequencyTableNEW(KWFrequencyTable kwdfvSourceFrequencyVectortarget1->CopyFrom(kwdfvSourceFrequencyVector1); nvfmax = nfv; } - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { // cout << "cout best " << nfv + 1 << " : " << dCost << endl; dBestCost = dCost; @@ -643,7 +643,7 @@ void DTDiscretizerMODL::DiscretizeGranularizedFrequencyTableNEW(KWFrequencyTable // cout << "nvfmax / nsourcesize : " << nvfmax << " / " << nsourcesize << endl; - if (dCostnull < dBestCost) + if (dCostnull < dBestCost + dEpsilon) { // cout << "NULL Cost" << endl; // cout << "cout best " << nfv + 1 << " : " << dCost << endl; diff --git a/src/Learning/DTForest/DTGrouperMODL.cpp b/src/Learning/DTForest/DTGrouperMODL.cpp index 654c2b974..d0ae9453e 100644 --- a/src/Learning/DTForest/DTGrouperMODL.cpp +++ b/src/Learning/DTForest/DTGrouperMODL.cpp @@ -501,7 +501,7 @@ void DTGrouperMODL::GroupPreprocessedTable(KWFrequencyTable* kwftSource, KWFrequ dCost = ComputeGroupingCost(kwftOptimizedGranularizedTable, nCurrentPartileNumber); // Cas de l'amelioration du cout - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { // Memorisation du cout optimal dBestCost = dCost; @@ -715,7 +715,7 @@ void DTGrouperMODL::SmallSourceNumberGroup(KWFrequencyTable* kwftSource, KWFrequ MergeFrequencyVectors(workingFrequencyVector, kwftSource->GetFrequencyVectorAt(1), kwftSource->GetFrequencyVectorAt(2)); dCost = ComputeGroupCost(workingFrequencyVector) + dCostGroup0; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestTwoGroupsIndex = 0; @@ -724,7 +724,7 @@ void DTGrouperMODL::SmallSourceNumberGroup(KWFrequencyTable* kwftSource, KWFrequ MergeFrequencyVectors(workingFrequencyVector, kwftSource->GetFrequencyVectorAt(0), kwftSource->GetFrequencyVectorAt(2)); dCost = ComputeGroupCost(workingFrequencyVector) + dCostGroup1; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestTwoGroupsIndex = 1; @@ -733,7 +733,7 @@ void DTGrouperMODL::SmallSourceNumberGroup(KWFrequencyTable* kwftSource, KWFrequ MergeFrequencyVectors(workingFrequencyVector, kwftSource->GetFrequencyVectorAt(0), kwftSource->GetFrequencyVectorAt(1)); dCost = ComputeGroupCost(workingFrequencyVector) + dCostGroup2; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestTwoGroupsIndex = 2; diff --git a/src/Learning/KWData/KWSortableIndex.cpp b/src/Learning/KWData/KWSortableIndex.cpp index 928bf2331..9fa34e4fb 100644 --- a/src/Learning/KWData/KWSortableIndex.cpp +++ b/src/Learning/KWData/KWSortableIndex.cpp @@ -176,10 +176,18 @@ int KWSortableSymbolCompare(const void* elem1, const void* elem2) int KWSortableSymbolCompareValue(const void* elem1, const void* elem2) { + int nCompare; + // Comparaison sur le critere de tri - return cast(KWSortableSymbol*, *(Object**)elem1) - ->GetSortValue() - .CompareValue(cast(KWSortableSymbol*, *(Object**)elem2)->GetSortValue()); + nCompare = cast(KWSortableSymbol*, *(Object**)elem1) + ->GetSortValue() + .CompareValue(cast(KWSortableSymbol*, *(Object**)elem2)->GetSortValue()); + + // Comparaison sur l'index si egal + if (nCompare == 0) + nCompare = cast(KWSortableSymbol*, *(Object**)elem1)->GetIndex() - + cast(KWSortableSymbol*, *(Object**)elem2)->GetIndex(); + return nCompare; } int KWSortableSymbolCompareDecreasingIndexValue(const void* elem1, const void* elem2) diff --git a/src/Learning/KWData/KWSortableIndex.h b/src/Learning/KWData/KWSortableIndex.h index a489bc708..2aa8612d9 100644 --- a/src/Learning/KWData/KWSortableIndex.h +++ b/src/Learning/KWData/KWSortableIndex.h @@ -185,7 +185,7 @@ class KWSortableSymbol : public KWSortableIndex // Comparaison de deux objets KWSortableSymbol par reference int KWSortableSymbolCompare(const void* elem1, const void* elem2); -// Comparaison de deux objets KWSortableSymbol par valeur +// Comparaison de deux objets KWSortableSymbol par valeur, puis par index croissant int KWSortableSymbolCompareValue(const void* elem1, const void* elem2); // Comparaison de deux objets KWSortableSymbol par index decroissant, puis par valeur diff --git a/src/Learning/KWDataPreparation/KWDataGrid.cpp b/src/Learning/KWDataPreparation/KWDataGrid.cpp index 652379ca1..8ef601d20 100644 --- a/src/Learning/KWDataPreparation/KWDataGrid.cpp +++ b/src/Learning/KWDataPreparation/KWDataGrid.cpp @@ -3558,6 +3558,8 @@ KWDGValue* KWDGValueSet::AddValue(const Symbol& sValue) { KWDGValue* value; + require(not bIsDefaultPart or sValue != Symbol::GetStarValue()); + // Creation de la valeur value = NewValue(sValue); @@ -3584,6 +3586,8 @@ void KWDGValueSet::DeleteValue(KWDGValue* value) { require(value != NULL); + require(not bIsDefaultPart or value->GetValue() != Symbol::GetStarValue()); + // Supression de la liste des valuees nValueNumber--; if (value->prevValue != NULL) diff --git a/src/Learning/KWDataPreparation/KWDataGridManager.cpp b/src/Learning/KWDataPreparation/KWDataGridManager.cpp index 707532f9f..ee1cbc213 100644 --- a/src/Learning/KWDataPreparation/KWDataGridManager.cpp +++ b/src/Learning/KWDataPreparation/KWDataGridManager.cpp @@ -2921,10 +2921,12 @@ void KWDataGridManager::SortAttributeParts(KWDGAttribute* sourceAttribute, KWDGA ObjectArray oaSourceParts; ObjectArray oaAssociations; KWSortableSymbol* association; - int nSource; - int n; KWDGPart* sourcePart; KWDGPart* groupedPart; + IntVector ivRandomIndexes; + int nSource; + int nRandomIndex; + int n; require(sourceAttribute != NULL); require(groupedAttribute != NULL); @@ -2943,11 +2945,27 @@ void KWDataGridManager::SortAttributeParts(KWDGAttribute* sourceAttribute, KWDGA // On exporte les parties sources dans un tableau sourceAttribute->ExportParts(&oaSourceParts); + // Construction d'un vecteur d'index des partie source pour les gere en ordre aleatoire + ivRandomIndexes.SetSize(oaSourceParts.GetSize()); + for (n = 0; n < ivRandomIndexes.GetSize(); n++) + ivRandomIndexes.SetAt(n, n); + ivRandomIndexes.Shuffle(); + + // Construction d'un vecteur d'index des parties source pour les gerer en ordre aleatoire + ivRandomIndexes.SetSize(oaSourceParts.GetSize()); + for (n = 0; n < ivRandomIndexes.GetSize(); n++) + ivRandomIndexes.SetAt(n, n); + ivRandomIndexes.Shuffle(); + // Initialisation d'un tableau d'associations entre index de partie source et // (premiere) valeur de groupe source oaAssociations.SetSize(oaSourceParts.GetSize()); - for (nSource = 0; nSource < oaSourceParts.GetSize(); nSource++) + for (n = 0; n < ivRandomIndexes.GetSize(); n++) { + // Attention, le RandomIndex est ici l'index de parcours du vecteur ivRandomIndexes + // Qui vient d'etre perturbe aleatoirement + nRandomIndex = n; + nSource = ivRandomIndexes.GetAt(nRandomIndex); sourcePart = cast(KWDGPart*, oaSourceParts.GetAt(nSource)); // Recherche de la partie groupee correspondante @@ -2956,12 +2974,11 @@ void KWDataGridManager::SortAttributeParts(KWDGAttribute* sourceAttribute, KWDGA // Creation de l'association entre index de partie et premiere valeur du groupe association = new KWSortableSymbol; oaAssociations.SetAt(nSource, association); - association->SetIndex(nSource); + association->SetIndex(nRandomIndex); association->SetSortValue(groupedPart->GetValueSet()->GetHeadValue()->GetValue()); } // Tri des association, apres une randomisation pour avoir un ordre aleatoire par groupe - oaAssociations.Shuffle(); oaAssociations.SetCompareFunction(KWSortableSymbolCompareValue); oaAssociations.Sort(); @@ -2974,7 +2991,8 @@ void KWDataGridManager::SortAttributeParts(KWDGAttribute* sourceAttribute, KWDGA association = cast(KWSortableSymbol*, oaAssociations.GetAt(n)); // Recherche de la partie source - nSource = association->GetIndex(); + nRandomIndex = association->GetIndex(); + nSource = ivRandomIndexes.GetAt(nRandomIndex); sourcePart = cast(KWDGPart*, oaSourceParts.GetAt(nSource)); // Recherche de la partie groupee correspondante diff --git a/src/Learning/KWDataPreparation/KWDataGridOptimizer.cpp b/src/Learning/KWDataPreparation/KWDataGridOptimizer.cpp index 1379fb7b4..448619206 100644 --- a/src/Learning/KWDataPreparation/KWDataGridOptimizer.cpp +++ b/src/Learning/KWDataPreparation/KWDataGridOptimizer.cpp @@ -356,7 +356,7 @@ double KWDataGridOptimizer::OptimizeDataGrid(const KWDataGrid* initialDataGrid, */ { // Cas d'amelioration du cout - if (dGranularityBestCost < dBestCost) + if (dGranularityBestCost < dBestCost - dEpsilon) { dBestCost = dGranularityBestCost; diff --git a/src/Learning/KWDataPreparation/KWDiscretizerMODL.cpp b/src/Learning/KWDataPreparation/KWDiscretizerMODL.cpp index b0361c3c2..d7004c161 100644 --- a/src/Learning/KWDataPreparation/KWDiscretizerMODL.cpp +++ b/src/Learning/KWDataPreparation/KWDiscretizerMODL.cpp @@ -194,7 +194,7 @@ void KWDiscretizerMODL::Discretize(KWFrequencyTable* kwftSource, KWFrequencyTabl delete kwftMergedTable; kwftMergedTable = NULL; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; // Destruction de l'optimum precedent diff --git a/src/Learning/KWDataPreparation/KWGrouperMODL.cpp b/src/Learning/KWDataPreparation/KWGrouperMODL.cpp index 7a11413f6..da4b1c98f 100644 --- a/src/Learning/KWDataPreparation/KWGrouperMODL.cpp +++ b/src/Learning/KWDataPreparation/KWGrouperMODL.cpp @@ -594,7 +594,7 @@ void KWGrouperMODL::GroupPreprocessedTable(KWFrequencyTable* kwftSource, KWFrequ dCost = ComputeGroupingCost(kwftOptimizedGranularizedTable, nCurrentPartileNumber); // Cas de l'amelioration du cout - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { // Memorisation du cout optimal dBestCost = dCost; @@ -813,7 +813,7 @@ void KWGrouperMODL::SmallSourceNumberGroup(KWFrequencyTable* kwftSource, KWFrequ MergeFrequencyVectors(workingFrequencyVector, kwftSource->GetFrequencyVectorAt(1), kwftSource->GetFrequencyVectorAt(2)); dCost = ComputeGroupCost(workingFrequencyVector) + dCostGroup0; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestTwoGroupsIndex = 0; @@ -822,7 +822,7 @@ void KWGrouperMODL::SmallSourceNumberGroup(KWFrequencyTable* kwftSource, KWFrequ MergeFrequencyVectors(workingFrequencyVector, kwftSource->GetFrequencyVectorAt(0), kwftSource->GetFrequencyVectorAt(2)); dCost = ComputeGroupCost(workingFrequencyVector) + dCostGroup1; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestTwoGroupsIndex = 1; @@ -831,7 +831,7 @@ void KWGrouperMODL::SmallSourceNumberGroup(KWFrequencyTable* kwftSource, KWFrequ MergeFrequencyVectors(workingFrequencyVector, kwftSource->GetFrequencyVectorAt(0), kwftSource->GetFrequencyVectorAt(1)); dCost = ComputeGroupCost(workingFrequencyVector) + dCostGroup2; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestTwoGroupsIndex = 2; diff --git a/src/Learning/KWTest/KWDensityEstimationTest.cpp b/src/Learning/KWTest/KWDensityEstimationTest.cpp index e125da8aa..32900b729 100644 --- a/src/Learning/KWTest/KWDensityEstimationTest.cpp +++ b/src/Learning/KWTest/KWDensityEstimationTest.cpp @@ -183,7 +183,7 @@ int KWDensityEstimationTest::SearchBestInstanceGridSize(ContinuousVector* cvXVal cout << nAxisCellNumber << "\t" << dCost << endl; // Test si amelioration - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; nBestAxisCellNumber = nAxisCellNumber; diff --git a/src/Learning/MHHistograms/MHDiscretizerHistogramMODL.cpp b/src/Learning/MHHistograms/MHDiscretizerHistogramMODL.cpp index 51403cbf2..d2ce5fce7 100644 --- a/src/Learning/MHHistograms/MHDiscretizerHistogramMODL.cpp +++ b/src/Learning/MHHistograms/MHDiscretizerHistogramMODL.cpp @@ -647,7 +647,7 @@ void MHDiscretizerHistogramMODL::GranularizedDiscretizeValues(const ContinuousVe << KWContinuous::ContinuousToString(dCost) << endl; // Memorisation si amelioration du cout - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; if (optimizedHistogramFrequencyTable != NULL) diff --git a/src/Learning/MHHistograms/MHDiscretizerHistogramMODL_fp.cpp b/src/Learning/MHHistograms/MHDiscretizerHistogramMODL_fp.cpp index 6a36ebac6..eeac16ae9 100644 --- a/src/Learning/MHHistograms/MHDiscretizerHistogramMODL_fp.cpp +++ b/src/Learning/MHHistograms/MHDiscretizerHistogramMODL_fp.cpp @@ -743,7 +743,7 @@ void MHDiscretizerHistogramMODL_fp::OptimizeGranularity(MHHistogram*& optimizedH delete optimizedHistogramFrequencyTable; // Memorisation si amelioration du cout - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; diff --git a/src/Learning/MHHistograms/MHFloatingPointFrequencyTableBuilder.cpp b/src/Learning/MHHistograms/MHFloatingPointFrequencyTableBuilder.cpp index 02b9ad97e..607ec1554 100644 --- a/src/Learning/MHHistograms/MHFloatingPointFrequencyTableBuilder.cpp +++ b/src/Learning/MHHistograms/MHFloatingPointFrequencyTableBuilder.cpp @@ -2127,6 +2127,7 @@ int MHFloatingPointFrequencyTableBuilder::SearchBinIndex(int nSearchedCumulative void MHFloatingPointFrequencyTableBuilder::InitializeDomainBounds() { boolean bDisplay = false; + const double dEpsilon = 1e-7; int nTotalFrequency; int i; double dBestCost; @@ -2172,13 +2173,13 @@ void MHFloatingPointFrequencyTableBuilder::InitializeDomainBounds() cout << KWContinuous::ContinuousToString(cUpperBound - GetMaxValue()) << "\t"; cout << dCost << "\t"; cout << dBestCost << "\t"; - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) cout << "Best"; cout << "\n"; } // Memorisation si amelioration - if (dCost < dBestCost) + if (dCost < dBestCost - dEpsilon) { dBestCost = dCost; diff --git a/src/Learning/MODL/MODL.cpp b/src/Learning/MODL/MODL.cpp index d03af2627..64718c7ae 100644 --- a/src/Learning/MODL/MODL.cpp +++ b/src/Learning/MODL/MODL.cpp @@ -13,6 +13,8 @@ void SetWindowsDebugDir(const ALString& sDatasetFamily, const ALString& sDataset int nRet; // A parametrer pour chaque utilisateur + // Devra etre fait plus proprement quand tout l'equipe sera sur git, par exemple via une variable + // d'environnement et quelques commentaires clairs sUserRootPath = "D:/Users/miib6422/Documents/boullema/LearningTest/TestKhiops/"; // Pour permettre de continuer a utiliser LearningTest, on ne fait rien s'il y a deja un fichier test.prm diff --git a/src/Learning/MODL_Coclustering/MODL_Coclustering.cpp b/src/Learning/MODL_Coclustering/MODL_Coclustering.cpp index e571efdb0..e03ab9d95 100644 --- a/src/Learning/MODL_Coclustering/MODL_Coclustering.cpp +++ b/src/Learning/MODL_Coclustering/MODL_Coclustering.cpp @@ -13,6 +13,8 @@ void SetWindowsDebugDir(const ALString& sDatasetFamily, const ALString& sDataset int nRet; // A parametrer pour chaque utilisateur + // Devra etre fait plus proprement quand tout l'equipe sera sur git, par exemple via une variable + // d'environnement et quelques commentaires clairs sUserRootPath = "D:/Users/miib6422/Documents/boullema/LearningTest/TestCoclustering/"; // Pour permettre de continuer a utiliser LearningTest, on ne fait rien s'il y a deja un fichier test.prm diff --git a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/time.log b/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/time.log deleted file mode 100644 index 6dc1e53f6..000000000 --- a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/time.log +++ /dev/null @@ -1 +0,0 @@ -Overal time: 0.14558053016662598 diff --git a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/Coclustering.khc b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/Coclustering.khc similarity index 97% rename from test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/Coclustering.khc rename to test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/Coclustering.khc index 7f04f6b6c..351249087 100644 --- a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/Coclustering.khc +++ b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/Coclustering.khc @@ -1,83 +1,83 @@ -#Khiops 10.1 -Short description -Dimensions 2 -Name Type Parts Initial parts Values Interest Description -occupation Categorical 3 3 12 1 -education Categorical 3 3 13 1 - -Coclustering stats -Instances 240 -Cells 9 -Null cost 1066.368632 -Cost 1051.316663 -Level 0.01411516443 -Initial dimensions 2 -Frequency variable -Dictionary Adult -Database ../../../datasets/Adult/Adult.txt -Sample percentage 0.5 -Sampling mode Include sample -Selection variable native_country -Selection value United-States - -Hierarchy occupation -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Prof-specialty, Exec-managerial, Protective-serv, ...} A2 90 1 1 1 6 -{Other-service, Craft-repair, Transport-moving} A4 70 0.812391 1 3 6 -{Sales, Farming-fishing, Adm-clerical, ...} A4 80 0.655405 1 5 6 -A2 240 0.830416 -0.727419 2 3 -A4 A2 150 0.728665 0.72783 4 5 - -Hierarchy education -Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank -{Bachelors, Masters, Assoc-voc, ...} B1 83 1 1 1 6 -{HS-grad, 11th, 10th, ...} B3 105 0.903801 1 3 6 -{Some-college, 9th} B3 52 0.59125 1 5 6 -B1 240 0.869351 0 2 2 -B3 B1 157 0.800281 0.696343 4 4 - -Composition occupation -Cluster Value Frequency Typicality -{Prof-specialty, Exec-managerial, Protective-serv, ...} Prof-specialty 54 1 -{Prof-specialty, Exec-managerial, Protective-serv, ...} Exec-managerial 23 0.342621 -{Prof-specialty, Exec-managerial, Protective-serv, ...} Protective-serv 6 0.148043 -{Prof-specialty, Exec-managerial, Protective-serv, ...} Tech-support 7 0.0502739 -{Prof-specialty, Exec-managerial, Protective-serv, ...} * 0 0 -{Other-service, Craft-repair, Transport-moving} Other-service 33 1 -{Other-service, Craft-repair, Transport-moving} Craft-repair 27 0.682053 -{Other-service, Craft-repair, Transport-moving} Transport-moving 10 0.398653 -{Sales, Farming-fishing, Adm-clerical, ...} Sales 27 1 -{Sales, Farming-fishing, Adm-clerical, ...} Farming-fishing 11 0.631255 -{Sales, Farming-fishing, Adm-clerical, ...} Adm-clerical 21 0.428212 -{Sales, Farming-fishing, Adm-clerical, ...} Handlers-cleaners 12 0.37083 -{Sales, Farming-fishing, Adm-clerical, ...} Machine-op-inspct 9 0.322156 - -Composition education -Cluster Value Frequency Typicality -{Bachelors, Masters, Assoc-voc, ...} Bachelors 39 1 -{Bachelors, Masters, Assoc-voc, ...} Masters 14 0.756619 -{Bachelors, Masters, Assoc-voc, ...} Assoc-voc 10 0.272011 -{Bachelors, Masters, Assoc-voc, ...} Assoc-acdm 10 0.245697 -{Bachelors, Masters, Assoc-voc, ...} Prof-school 4 0.220568 -{Bachelors, Masters, Assoc-voc, ...} Doctorate 2 0.166163 -{Bachelors, Masters, Assoc-voc, ...} 12th 4 0.143425 -{Bachelors, Masters, Assoc-voc, ...} * 0 0 -{HS-grad, 11th, 10th, ...} HS-grad 82 1 -{HS-grad, 11th, 10th, ...} 11th 12 0.318105 -{HS-grad, 11th, 10th, ...} 10th 8 0.271284 -{HS-grad, 11th, 10th, ...} 7th-8th 3 0.0969771 -{Some-college, 9th} Some-college 47 1 -{Some-college, 9th} 9th 5 0.300942 - -Cells -occupation education Frequency -{Prof-specialty, Exec-managerial, Protective-serv, ...} {Bachelors, Masters, Assoc-voc, ...} 60 -{Sales, Farming-fishing, Adm-clerical, ...} {HS-grad, 11th, 10th, ...} 52 -{Other-service, Craft-repair, Transport-moving} {HS-grad, 11th, 10th, ...} 42 -{Other-service, Craft-repair, Transport-moving} {Some-college, 9th} 25 -{Sales, Farming-fishing, Adm-clerical, ...} {Bachelors, Masters, Assoc-voc, ...} 20 -{Prof-specialty, Exec-managerial, Protective-serv, ...} {Some-college, 9th} 19 -{Prof-specialty, Exec-managerial, Protective-serv, ...} {HS-grad, 11th, 10th, ...} 11 -{Sales, Farming-fishing, Adm-clerical, ...} {Some-college, 9th} 8 -{Other-service, Craft-repair, Transport-moving} {Bachelors, Masters, Assoc-voc, ...} 3 - +#Khiops 10.1.5 +Short description +Dimensions 2 +Name Type Parts Initial parts Values Interest Description +occupation Categorical 3 3 12 1 +education Categorical 3 3 13 1 + +Coclustering stats +Instances 240 +Cells 9 +Null cost 1066.368632 +Cost 1051.316663 +Level 0.01411516443 +Initial dimensions 2 +Frequency variable +Dictionary Adult +Database ../../../datasets/Adult/Adult.txt +Sample percentage 0.5 +Sampling mode Include sample +Selection variable native_country +Selection value United-States + +Hierarchy occupation +Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank +{Prof-specialty, Exec-managerial, Protective-serv, ...} A2 90 1 1 1 6 +{Other-service, Craft-repair, Transport-moving} A4 70 0.812391 1 3 6 +{Sales, Farming-fishing, Adm-clerical, ...} A4 80 0.655405 1 5 6 +A2 240 0.830416 -0.727419 2 3 +A4 A2 150 0.728665 0.72783 4 5 + +Hierarchy education +Cluster ParentCluster Frequency Interest HierarchicalLevel Rank HierarchicalRank +{Bachelors, Masters, Assoc-voc, ...} B1 83 1 1 1 6 +{HS-grad, 11th, 10th, ...} B3 105 0.903801 1 3 6 +{Some-college, 9th} B3 52 0.59125 1 5 6 +B1 240 0.869351 0 2 2 +B3 B1 157 0.800281 0.696343 4 4 + +Composition occupation +Cluster Value Frequency Typicality +{Prof-specialty, Exec-managerial, Protective-serv, ...} Prof-specialty 54 1 +{Prof-specialty, Exec-managerial, Protective-serv, ...} Exec-managerial 23 0.342621 +{Prof-specialty, Exec-managerial, Protective-serv, ...} Protective-serv 6 0.148043 +{Prof-specialty, Exec-managerial, Protective-serv, ...} Tech-support 7 0.0502739 +{Prof-specialty, Exec-managerial, Protective-serv, ...} * 0 0 +{Other-service, Craft-repair, Transport-moving} Other-service 33 1 +{Other-service, Craft-repair, Transport-moving} Craft-repair 27 0.682053 +{Other-service, Craft-repair, Transport-moving} Transport-moving 10 0.398653 +{Sales, Farming-fishing, Adm-clerical, ...} Sales 27 1 +{Sales, Farming-fishing, Adm-clerical, ...} Farming-fishing 11 0.631255 +{Sales, Farming-fishing, Adm-clerical, ...} Adm-clerical 21 0.428212 +{Sales, Farming-fishing, Adm-clerical, ...} Handlers-cleaners 12 0.37083 +{Sales, Farming-fishing, Adm-clerical, ...} Machine-op-inspct 9 0.322156 + +Composition education +Cluster Value Frequency Typicality +{Bachelors, Masters, Assoc-voc, ...} Bachelors 39 1 +{Bachelors, Masters, Assoc-voc, ...} Masters 14 0.756619 +{Bachelors, Masters, Assoc-voc, ...} Assoc-voc 10 0.272011 +{Bachelors, Masters, Assoc-voc, ...} Assoc-acdm 10 0.245697 +{Bachelors, Masters, Assoc-voc, ...} Prof-school 4 0.220568 +{Bachelors, Masters, Assoc-voc, ...} Doctorate 2 0.166163 +{Bachelors, Masters, Assoc-voc, ...} 12th 4 0.143425 +{Bachelors, Masters, Assoc-voc, ...} * 0 0 +{HS-grad, 11th, 10th, ...} HS-grad 82 1 +{HS-grad, 11th, 10th, ...} 11th 12 0.318105 +{HS-grad, 11th, 10th, ...} 10th 8 0.271284 +{HS-grad, 11th, 10th, ...} 7th-8th 3 0.0969771 +{Some-college, 9th} Some-college 47 1 +{Some-college, 9th} 9th 5 0.300942 + +Cells +occupation education Frequency +{Prof-specialty, Exec-managerial, Protective-serv, ...} {Bachelors, Masters, Assoc-voc, ...} 60 +{Sales, Farming-fishing, Adm-clerical, ...} {HS-grad, 11th, 10th, ...} 52 +{Other-service, Craft-repair, Transport-moving} {HS-grad, 11th, 10th, ...} 42 +{Other-service, Craft-repair, Transport-moving} {Some-college, 9th} 25 +{Sales, Farming-fishing, Adm-clerical, ...} {Bachelors, Masters, Assoc-voc, ...} 20 +{Prof-specialty, Exec-managerial, Protective-serv, ...} {Some-college, 9th} 19 +{Prof-specialty, Exec-managerial, Protective-serv, ...} {HS-grad, 11th, 10th, ...} 11 +{Sales, Farming-fishing, Adm-clerical, ...} {Some-college, 9th} 8 +{Other-service, Craft-repair, Transport-moving} {Bachelors, Masters, Assoc-voc, ...} 3 + diff --git a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/Coclustering.khcj b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/Coclustering.khcj similarity index 95% rename from test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/Coclustering.khcj rename to test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/Coclustering.khcj index 9e9468817..c90a62679 100644 --- a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/Coclustering.khcj +++ b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/Coclustering.khcj @@ -1,221 +1,221 @@ -{ - "tool": "Khiops Coclustering", - "version": "10.1", - "shortDescription": "", - "coclusteringReport": { - "summary": { - "instances": 240, - "cells": 9, - "nullCost": 1066.368632, - "cost": 1051.316663, - "level": 0.01411516443, - "initialDimensions": 2, - "frequencyVariable": "", - "dictionary": "Adult", - "database": "..\/..\/..\/datasets\/Adult\/Adult.txt", - "samplePercentage": 0.5, - "samplingMode": "Include sample", - "selectionVariable": "native_country", - "selectionValue": "United-States" - }, - "dimensionSummaries": [ - { - "name": "occupation", - "type": "Categorical", - "parts": 3, - "initialParts": 3, - "values": 12, - "interest": 1, - "description": "" - }, - { - "name": "education", - "type": "Categorical", - "parts": 3, - "initialParts": 3, - "values": 13, - "interest": 1, - "description": "" - } - ], - "dimensionPartitions": [ - { - "name": "occupation", - "type": "Categorical", - "valueGroups": [ - { - "cluster": "{Prof-specialty, Exec-managerial, Protective-serv, ...}", - "values": ["Prof-specialty","Exec-managerial","Protective-serv","Tech-support"], - "valueFrequencies": [54,23,6,7], - "valueTypicalities": [1,0.342621,0.148043,0.0502739] - }, - { - "cluster": "{Other-service, Craft-repair, Transport-moving}", - "values": ["Other-service","Craft-repair","Transport-moving"], - "valueFrequencies": [33,27,10], - "valueTypicalities": [1,0.682053,0.398653] - }, - { - "cluster": "{Sales, Farming-fishing, Adm-clerical, ...}", - "values": ["Sales","Farming-fishing","Adm-clerical","Handlers-cleaners","Machine-op-inspct"], - "valueFrequencies": [27,11,21,12,9], - "valueTypicalities": [1,0.631255,0.428212,0.37083,0.322156] - } - ], - "defaultGroupIndex": 0 - }, - { - "name": "education", - "type": "Categorical", - "valueGroups": [ - { - "cluster": "{Bachelors, Masters, Assoc-voc, ...}", - "values": ["Bachelors","Masters","Assoc-voc","Assoc-acdm","Prof-school","Doctorate","12th"], - "valueFrequencies": [39,14,10,10,4,2,4], - "valueTypicalities": [1,0.756619,0.272011,0.245697,0.220568,0.166163,0.143425] - }, - { - "cluster": "{HS-grad, 11th, 10th, ...}", - "values": ["HS-grad","11th","10th","7th-8th"], - "valueFrequencies": [82,12,8,3], - "valueTypicalities": [1,0.318105,0.271284,0.0969771] - }, - { - "cluster": "{Some-college, 9th}", - "values": ["Some-college","9th"], - "valueFrequencies": [47,5], - "valueTypicalities": [1,0.300942] - } - ], - "defaultGroupIndex": 0 - } - ], - "dimensionHierarchies": [ - { - "name": "occupation", - "type": "Categorical", - "clusters": [ - { - "cluster": "{Prof-specialty, Exec-managerial, Protective-serv, ...}", - "parentCluster": "A2", - "frequency": 90, - "interest": 1, - "hierarchicalLevel": 1, - "rank": 1, - "hierarchicalRank": 6, - "isLeaf": true - }, - { - "cluster": "{Other-service, Craft-repair, Transport-moving}", - "parentCluster": "A4", - "frequency": 70, - "interest": 0.812391, - "hierarchicalLevel": 1, - "rank": 3, - "hierarchicalRank": 6, - "isLeaf": true - }, - { - "cluster": "{Sales, Farming-fishing, Adm-clerical, ...}", - "parentCluster": "A4", - "frequency": 80, - "interest": 0.655405, - "hierarchicalLevel": 1, - "rank": 5, - "hierarchicalRank": 6, - "isLeaf": true - }, - { - "cluster": "A2", - "parentCluster": "", - "frequency": 240, - "interest": 0.830416, - "hierarchicalLevel": -0.727419, - "rank": 2, - "hierarchicalRank": 3, - "isLeaf": false - }, - { - "cluster": "A4", - "parentCluster": "A2", - "frequency": 150, - "interest": 0.728665, - "hierarchicalLevel": 0.72783, - "rank": 4, - "hierarchicalRank": 5, - "isLeaf": false - } - ] - }, - { - "name": "education", - "type": "Categorical", - "clusters": [ - { - "cluster": "{Bachelors, Masters, Assoc-voc, ...}", - "parentCluster": "B1", - "frequency": 83, - "interest": 1, - "hierarchicalLevel": 1, - "rank": 1, - "hierarchicalRank": 6, - "isLeaf": true - }, - { - "cluster": "{HS-grad, 11th, 10th, ...}", - "parentCluster": "B3", - "frequency": 105, - "interest": 0.903801, - "hierarchicalLevel": 1, - "rank": 3, - "hierarchicalRank": 6, - "isLeaf": true - }, - { - "cluster": "{Some-college, 9th}", - "parentCluster": "B3", - "frequency": 52, - "interest": 0.59125, - "hierarchicalLevel": 1, - "rank": 5, - "hierarchicalRank": 6, - "isLeaf": true - }, - { - "cluster": "B1", - "parentCluster": "", - "frequency": 240, - "interest": 0.869351, - "hierarchicalLevel": 0, - "rank": 2, - "hierarchicalRank": 2, - "isLeaf": false - }, - { - "cluster": "B3", - "parentCluster": "B1", - "frequency": 157, - "interest": 0.800281, - "hierarchicalLevel": 0.696343, - "rank": 4, - "hierarchicalRank": 4, - "isLeaf": false - } - ] - } - ], - "cellPartIndexes": [ - [0,0], - [2,1], - [1,1], - [1,2], - [2,0], - [0,2], - [0,1], - [2,2], - [1,0] - ], - "cellFrequencies": [60,52,42,25,20,19,11,8,3] - }, - "khiops_encoding": "ascii" -} +{ + "tool": "Khiops Coclustering", + "version": "10.1.5", + "shortDescription": "", + "coclusteringReport": { + "summary": { + "instances": 240, + "cells": 9, + "nullCost": 1066.368632, + "cost": 1051.316663, + "level": 0.01411516443, + "initialDimensions": 2, + "frequencyVariable": "", + "dictionary": "Adult", + "database": "..\/..\/..\/datasets\/Adult\/Adult.txt", + "samplePercentage": 0.5, + "samplingMode": "Include sample", + "selectionVariable": "native_country", + "selectionValue": "United-States" + }, + "dimensionSummaries": [ + { + "name": "occupation", + "type": "Categorical", + "parts": 3, + "initialParts": 3, + "values": 12, + "interest": 1, + "description": "" + }, + { + "name": "education", + "type": "Categorical", + "parts": 3, + "initialParts": 3, + "values": 13, + "interest": 1, + "description": "" + } + ], + "dimensionPartitions": [ + { + "name": "occupation", + "type": "Categorical", + "valueGroups": [ + { + "cluster": "{Prof-specialty, Exec-managerial, Protective-serv, ...}", + "values": ["Prof-specialty","Exec-managerial","Protective-serv","Tech-support"], + "valueFrequencies": [54,23,6,7], + "valueTypicalities": [1,0.342621,0.148043,0.0502739] + }, + { + "cluster": "{Other-service, Craft-repair, Transport-moving}", + "values": ["Other-service","Craft-repair","Transport-moving"], + "valueFrequencies": [33,27,10], + "valueTypicalities": [1,0.682053,0.398653] + }, + { + "cluster": "{Sales, Farming-fishing, Adm-clerical, ...}", + "values": ["Sales","Farming-fishing","Adm-clerical","Handlers-cleaners","Machine-op-inspct"], + "valueFrequencies": [27,11,21,12,9], + "valueTypicalities": [1,0.631255,0.428212,0.37083,0.322156] + } + ], + "defaultGroupIndex": 0 + }, + { + "name": "education", + "type": "Categorical", + "valueGroups": [ + { + "cluster": "{Bachelors, Masters, Assoc-voc, ...}", + "values": ["Bachelors","Masters","Assoc-voc","Assoc-acdm","Prof-school","Doctorate","12th"], + "valueFrequencies": [39,14,10,10,4,2,4], + "valueTypicalities": [1,0.756619,0.272011,0.245697,0.220568,0.166163,0.143425] + }, + { + "cluster": "{HS-grad, 11th, 10th, ...}", + "values": ["HS-grad","11th","10th","7th-8th"], + "valueFrequencies": [82,12,8,3], + "valueTypicalities": [1,0.318105,0.271284,0.0969771] + }, + { + "cluster": "{Some-college, 9th}", + "values": ["Some-college","9th"], + "valueFrequencies": [47,5], + "valueTypicalities": [1,0.300942] + } + ], + "defaultGroupIndex": 0 + } + ], + "dimensionHierarchies": [ + { + "name": "occupation", + "type": "Categorical", + "clusters": [ + { + "cluster": "{Prof-specialty, Exec-managerial, Protective-serv, ...}", + "parentCluster": "A2", + "frequency": 90, + "interest": 1, + "hierarchicalLevel": 1, + "rank": 1, + "hierarchicalRank": 6, + "isLeaf": true + }, + { + "cluster": "{Other-service, Craft-repair, Transport-moving}", + "parentCluster": "A4", + "frequency": 70, + "interest": 0.812391, + "hierarchicalLevel": 1, + "rank": 3, + "hierarchicalRank": 6, + "isLeaf": true + }, + { + "cluster": "{Sales, Farming-fishing, Adm-clerical, ...}", + "parentCluster": "A4", + "frequency": 80, + "interest": 0.655405, + "hierarchicalLevel": 1, + "rank": 5, + "hierarchicalRank": 6, + "isLeaf": true + }, + { + "cluster": "A2", + "parentCluster": "", + "frequency": 240, + "interest": 0.830416, + "hierarchicalLevel": -0.727419, + "rank": 2, + "hierarchicalRank": 3, + "isLeaf": false + }, + { + "cluster": "A4", + "parentCluster": "A2", + "frequency": 150, + "interest": 0.728665, + "hierarchicalLevel": 0.72783, + "rank": 4, + "hierarchicalRank": 5, + "isLeaf": false + } + ] + }, + { + "name": "education", + "type": "Categorical", + "clusters": [ + { + "cluster": "{Bachelors, Masters, Assoc-voc, ...}", + "parentCluster": "B1", + "frequency": 83, + "interest": 1, + "hierarchicalLevel": 1, + "rank": 1, + "hierarchicalRank": 6, + "isLeaf": true + }, + { + "cluster": "{HS-grad, 11th, 10th, ...}", + "parentCluster": "B3", + "frequency": 105, + "interest": 0.903801, + "hierarchicalLevel": 1, + "rank": 3, + "hierarchicalRank": 6, + "isLeaf": true + }, + { + "cluster": "{Some-college, 9th}", + "parentCluster": "B3", + "frequency": 52, + "interest": 0.59125, + "hierarchicalLevel": 1, + "rank": 5, + "hierarchicalRank": 6, + "isLeaf": true + }, + { + "cluster": "B1", + "parentCluster": "", + "frequency": 240, + "interest": 0.869351, + "hierarchicalLevel": 0, + "rank": 2, + "hierarchicalRank": 2, + "isLeaf": false + }, + { + "cluster": "B3", + "parentCluster": "B1", + "frequency": 157, + "interest": 0.800281, + "hierarchicalLevel": 0.696343, + "rank": 4, + "hierarchicalRank": 4, + "isLeaf": false + } + ] + } + ], + "cellPartIndexes": [ + [0,0], + [2,1], + [1,1], + [1,2], + [2,0], + [0,2], + [0,1], + [2,2], + [1,0] + ], + "cellFrequencies": [60,52,42,25,20,19,11,8,3] + }, + "khiops_encoding": "ascii" +} diff --git a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/err.txt b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/err.txt similarity index 75% rename from test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/err.txt rename to test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/err.txt index 049fc2191..34cf96154 100644 --- a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/results.ref/err.txt +++ b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/err.txt @@ -1,8 +1,7 @@ -Database ../../../datasets/Adult/Adult.txt : Read records: 48,842 Selected records: 240 - 0:00:00 Write intermediate coclustering report Coclustering(1).khc Level: 0.0137204 Size: 3*5 - 0:00:00 Write intermediate coclustering report Coclustering(2).khc Level: 0.0137755 Size: 2*3 - 0:00:00 Write intermediate coclustering report Coclustering(3).khc Level: 0.0139406 Size: 3*4 - 0:00:00 Write intermediate coclustering report Coclustering(4).khc Level: 0.0141152 Size: 3*3 -Write coclustering report ./results\Coclustering.khc -Coclustering analysis time: 0:00:00.06 - +Database ../../../datasets/Adult/Adult.txt : Read records: 48,842 Selected records: 240 + 0:00:00 Write intermediate coclustering report Coclustering(1).khc Level: 0.0137204 Size: 3*5 + 0:00:00 Write intermediate coclustering report Coclustering(2).khc Level: 0.0137755 Size: 2*3 + 0:00:00 Write intermediate coclustering report Coclustering(3).khc Level: 0.0141152 Size: 3*3 +Write coclustering report ./results\Coclustering.khc +Coclustering analysis time: 0:00:00.05 + diff --git a/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/time.log b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/time.log new file mode 100644 index 000000000..5c68c697e --- /dev/null +++ b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/results.ref/time.log @@ -0,0 +1 @@ +Overal time: 0.4202566146850586 diff --git a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/test.prm b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/test.prm similarity index 97% rename from test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/test.prm rename to test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/test.prm index b3d03a24b..e5c3917fc 100644 --- a/test/LearningTest/TestCoclustering/Standard-unstable/Adult2varsTiny/test.prm +++ b/test/LearningTest/TestCoclustering/Standard/Adult2varsTiny/test.prm @@ -1,45 +1,45 @@ -// Mon Jul 11 10:35:30 2011 -// C:\Users\boullema\Learning\Win32\debug\MODL_Coclustering -// Output command file -// -//This file contains recorded commands, that can be replayed. -//Commands are based on user interactions: -// field update -// list item selection -// menu action -//Every command can be commented, using //. -//For example, commenting the last Exit command will allow other -//user interactions, after the commands have been replayed. -// -// - -// -> Khiops Coclustering -ClassManagement.OpenFile // Open... - -// -> Open -ClassFileName ../../../datasets/Adult/Adult.kdic // Dictionary file -OK // Open -// <- Open - -Database.DatabaseFiles.List.Key Adult // List item selection -Database.DatabaseFiles.DataTableName ../../../datasets/Adult/Adult.txt // Database file -Database.SampleNumberPercentage 0.5 // Sample percentage -Database.SelectionAttribute native_country // Selection variable -Database.SelectionValue United-States // Selection value - -AnalysisSpec.CoclusteringParameters.Attributes.InsertItemAfter // Insert variable -AnalysisSpec.CoclusteringParameters.Attributes.Name occupation // Name -AnalysisSpec.CoclusteringParameters.Attributes.InsertItemAfter // Insert variable -AnalysisSpec.CoclusteringParameters.Attributes.Name education // Name - -AnalysisSpec.SystemParameters.OptimizationTime 0 // Optimization time in seconds -AnalysisResults.ResultFilesDirectory ./results // Result files directory -BuildCoclustering // Build coclustering - -Exit // Close -// <- Khiops Coclustering - - -// -> Khiops Coclustering -OK // Close -// <- Khiops Coclustering +// Mon Jul 11 10:35:30 2011 +// C:\Users\boullema\Learning\Win32\debug\MODL_Coclustering +// Output command file +// +//This file contains recorded commands, that can be replayed. +//Commands are based on user interactions: +// field update +// list item selection +// menu action +//Every command can be commented, using //. +//For example, commenting the last Exit command will allow other +//user interactions, after the commands have been replayed. +// +// + +// -> Khiops Coclustering +ClassManagement.OpenFile // Open... + +// -> Open +ClassFileName ../../../datasets/Adult/Adult.kdic // Dictionary file +OK // Open +// <- Open + +Database.DatabaseFiles.List.Key Adult // List item selection +Database.DatabaseFiles.DataTableName ../../../datasets/Adult/Adult.txt // Database file +Database.SampleNumberPercentage 0.5 // Sample percentage +Database.SelectionAttribute native_country // Selection variable +Database.SelectionValue United-States // Selection value + +AnalysisSpec.CoclusteringParameters.Attributes.InsertItemAfter // Insert variable +AnalysisSpec.CoclusteringParameters.Attributes.Name occupation // Name +AnalysisSpec.CoclusteringParameters.Attributes.InsertItemAfter // Insert variable +AnalysisSpec.CoclusteringParameters.Attributes.Name education // Name + +AnalysisSpec.SystemParameters.OptimizationTime 0 // Optimization time in seconds +AnalysisResults.ResultFilesDirectory ./results // Result files directory +BuildCoclustering // Build coclustering + +Exit // Close +// <- Khiops Coclustering + + +// -> Khiops Coclustering +OK // Close +// <- Khiops Coclustering diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/time.log b/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/time.log deleted file mode 100644 index 272a1ce03..000000000 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/time.log +++ /dev/null @@ -1 +0,0 @@ -Overal time: 0.5429747104644775 diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/IrisExtended.kdic b/test/LearningTest/TestKhiops/Standard/IrisU/IrisExtended.kdic similarity index 97% rename from test/LearningTest/TestKhiops/Standard-unstable/IrisU/IrisExtended.kdic rename to test/LearningTest/TestKhiops/Standard/IrisU/IrisExtended.kdic index ed8a34633..f50517f00 100644 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/IrisExtended.kdic +++ b/test/LearningTest/TestKhiops/Standard/IrisU/IrisExtended.kdic @@ -1,17 +1,17 @@ -#Khiops 7.7.2i - -Dictionary Iris -{ - Numerical SepalLength ; - Numerical SepalWidth ; - Numerical PetalLength ; - Numerical PetalWidth ; - Categorical SPetalLength = AsCategorical(Floor(PetalLength)) ; - Numerical LowerPetalLength = If(LE(PetalLength, 3), PetalLength, 3) ; - Numerical UpperPetalWidth = If(GE(PetalWidth, 1.5), PetalWidth, 1.5) ; - Categorical Class1 = IfC(EQc(Class, "Iris-setosa"), "setosa", "") ; - Categorical Class2 = IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") ; - Numerical Dummy1 = Copy(0) ; - Numerical Dummy2 = Random() ; - Categorical Class ; -}; +#Khiops 7.7.2i + +Dictionary Iris +{ + Numerical SepalLength ; + Numerical SepalWidth ; + Numerical PetalLength ; + Numerical PetalWidth ; + Categorical SPetalLength = AsCategorical(Floor(PetalLength)) ; + Numerical LowerPetalLength = If(LE(PetalLength, 3), PetalLength, 3) ; + Numerical UpperPetalWidth = If(GE(PetalWidth, 1.5), PetalWidth, 1.5) ; + Categorical Class1 = IfC(EQc(Class, "Iris-setosa"), "setosa", "") ; + Categorical Class2 = IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") ; + Numerical Dummy1 = Copy(0) ; + Numerical Dummy2 = Random() ; + Categorical Class ; +}; diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/AllReports.khj b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/AllReports.khj similarity index 95% rename from test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/AllReports.khj rename to test/LearningTest/TestKhiops/Standard/IrisU/results.ref/AllReports.khj index bd938d590..cb9062a3c 100644 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/AllReports.khj +++ b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/AllReports.khj @@ -1,2518 +1,2518 @@ -{ - "tool": "Khiops", - "version": "10.1", - "shortDescription": "", - "preparationReport": { - "reportType": "Preparation", - "summary": { - "dictionary": "Iris", - "variables": { - "types": [ - "Categorical", - "Numerical" - ], - "numbers": [ - 4, - 8 - ] - }, - "database": "..\/..\/..\/datasets\/Iris\/Iris.txt", - "samplePercentage": 70, - "samplingMode": "Include sample", - "selectionVariable": "", - "selectionValue": "", - "instances": 105, - "learningTask": "Unsupervised analysis", - "evaluatedVariables": 12, - "nativeVariables": 5, - "constructedVariables": 7, - "featureEngineering": { - "maxNumberOfConstructedVariables": 0, - "maxNumberOfTrees": 0, - "maxNumberOfVariablePairs": 100 - }, - "discretization": "EqualWidth", - "valueGrouping": "BasicGrouping" - }, - "variablesStatistics": [ - { - "rank": "R01", - "name": "Class", - "type": "Categorical", - "values": 3, - "mode": "Iris-setosa", - "modeFrequency": 38, - "constructionCost": 3.17805 - }, - { - "rank": "R02", - "name": "Class1", - "type": "Categorical", - "values": 2, - "mode": "", - "modeFrequency": 67, - "constructionCost": 3.17805, - "derivationRule": "IfC(EQc(Class, \"Iris-setosa\"), \"setosa\", \"\")" - }, - { - "rank": "R03", - "name": "Class2", - "type": "Categorical", - "values": 2, - "mode": "", - "modeFrequency": 73, - "constructionCost": 3.17805, - "derivationRule": "IfC(EQc(Class, \"Iris-versicolor\"), \"versicolor\", \"\")" - }, - { - "rank": "R04", - "name": "Dummy1", - "type": "Numerical", - "values": 1, - "min": 0, - "max": 0, - "mean": 0, - "stdDev": 0, - 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diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/PreparationReport.xls b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/PreparationReport.xls similarity index 95% rename from test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/PreparationReport.xls rename to test/LearningTest/TestKhiops/Standard/IrisU/results.ref/PreparationReport.xls index 5df7a380f..3412cd6d9 100644 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/PreparationReport.xls +++ b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/PreparationReport.xls @@ -1,246 +1,246 @@ -#Khiops 10.1 -Descriptive statistics - - -Problem description -Short description - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 - -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 105 - -Learning task Unsupervised analysis - -Evaluated variables 12 -Native variables 5 -Constructed variables 7 - -Max number of constructed variables 0 -Max number of trees 0 -Max number of variable pairs 100 -Discretization EqualWidth -Value grouping BasicGrouping - - -Categorical variables statistics - -Rank Name Values Mode Mode coverage Constr. cost Derivation rule -R01 Class 3 Iris-setosa 0.361905 3.17805 -R02 Class1 2 0.638095 3.17805 IfC(EQc(Class, "Iris-setosa"), "setosa", "") -R03 Class2 2 0.695238 3.17805 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") -R09 SPetalLength 5 1 0.361905 3.17805 AsCategorical(Floor(PetalLength)) - - -Numerical variables statistics - -Rank Name Values Min Max Mean Std dev Missing number Constr. cost Derivation rule -R04 Dummy1 1 0 0 0 0 0 3.17805 Copy(0) -R05 Dummy2 105 0.005121241265 0.9859650261 0.5173966838 0.2650019122 0 3.17805 Random() -R06 LowerPetalLength 10 1 3 2.446666667 0.7433600251 0 3.17805 If(LE(PetalLength, 3), PetalLength, 3) -R07 PetalLength 36 1 6.9 3.686666667 1.80132579 0 3.17805 -R08 PetalWidth 21 0.1 2.5 1.175238095 0.7880996979 0 3.17805 -R10 SepalLength 31 4.3 7.7 5.827619048 0.8375127846 0 3.17805 -R11 SepalWidth 23 2 4.4 3.081904762 0.4284592446 0 3.17805 -R12 UpperPetalWidth 11 1.5 2.5 1.692380952 0.2962287527 0 3.17805 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) - - --------------------------------------------------------------------------------- - -Variables detailed statistics - - -Rank R01 -Variable Categorical Class - -Variable stats -Group Frequency Coverage Size Value list -{Iris-setosa} 38 0.361905 1 Iris-setosa -{Iris-virginica} 35 0.333333 1 Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * - - -Values -Value Frequency Coverage -Iris-setosa 38 0.361905 -Iris-virginica 35 0.333333 -Iris-versicolor 32 0.304762 - ----------------------------------------------- -Rank R02 -Variable Categorical Class1 - -Variable stats -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * - - -Values -Value Frequency Coverage - 67 0.638095 -setosa 38 0.361905 - ----------------------------------------------- -Rank R03 -Variable Categorical Class2 - -Variable stats -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * - - -Values -Value Frequency Coverage - 73 0.695238 -versicolor 32 0.304762 - ----------------------------------------------- -Rank R05 -Variable Numerical Dummy2 - -Variable stats -Interval Frequency Coverage -]-inf;0.102] 7 0.0666667 -]0.102;0.206] 9 0.0857143 -]0.206;0.296] 8 0.0761905 -]0.296;0.403] 14 0.133333 -]0.403;0.4979] 13 0.12381 -]0.4979;0.5879] 14 0.133333 -]0.5879;0.698] 8 0.0761905 -]0.698;0.8] 13 0.12381 -]0.8;0.894] 10 0.0952381 -]0.894;+inf[ 9 0.0857143 - - ----------------------------------------------- -Rank R06 -Variable Numerical LowerPetalLength - -Variable stats -Interval Frequency Coverage -]-inf;1.25] 4 0.0380952 -]1.25;1.45] 13 0.12381 -]1.45;1.65] 15 0.142857 -]1.65;1.8] 4 0.0380952 -]1.8;2.4] 2 0.0190476 -]2.4;+inf[ 67 0.638095 - - ----------------------------------------------- -Rank R07 -Variable Numerical PetalLength - -Variable stats -Interval Frequency Coverage -]-inf;1.55] 27 0.257143 -]1.55;2.4] 11 0.104762 -]2.4;3.4] 2 0.0190476 -]3.4;3.95] 6 0.0571429 -]3.95;4.6] 15 0.142857 -]4.6;5.15] 18 0.171429 -]5.15;5.75] 15 0.142857 -]5.75;6.4] 8 0.0761905 -]6.4;+inf[ 3 0.0285714 - - ----------------------------------------------- -Rank R08 -Variable Numerical PetalWidth - -Variable stats -Interval Frequency Coverage -]-inf;0.35] 31 0.295238 -]0.35;0.75] 7 0.0666667 -]0.75;1.05] 5 0.047619 -]1.05;1.35] 13 0.12381 -]1.35;1.55] 11 0.104762 -]1.55;1.75] 4 0.0380952 -]1.75;2.05] 16 0.152381 -]2.05;2.25] 7 0.0666667 -]2.25;+inf[ 11 0.104762 - - ----------------------------------------------- -Rank R09 -Variable Categorical SPetalLength - -Variable stats -Group Frequency Coverage Size Value list -{1} 38 0.361905 1 1 -{5} 27 0.257143 1 5 -{4} 25 0.238095 1 4 -{3} 8 0.0761905 1 3 -{6} 7 0.0666667 1 6 * - - -Values -Value Frequency Coverage -1 38 0.361905 -5 27 0.257143 -4 25 0.238095 -3 8 0.0761905 -6 7 0.0666667 - ----------------------------------------------- -Rank R10 -Variable Numerical SepalLength - -Variable stats -Interval Frequency Coverage -]-inf;4.65] 7 0.0666667 -]4.65;4.95] 11 0.104762 -]4.95;5.35] 16 0.152381 -]5.35;5.65] 13 0.12381 -]5.65;6.05] 16 0.152381 -]6.05;6.35] 12 0.114286 -]6.35;6.65] 10 0.0952381 -]6.65;7.05] 12 0.114286 -]7.05;7.3] 3 0.0285714 -]7.3;+inf[ 5 0.047619 - - ----------------------------------------------- -Rank R11 -Variable Numerical SepalWidth - -Variable stats -Interval Frequency Coverage -]-inf;2.25] 2 0.0190476 -]2.25;2.45] 3 0.0285714 -]2.45;2.75] 14 0.133333 -]2.75;2.95] 17 0.161905 -]2.95;3.25] 41 0.390476 -]3.25;3.45] 12 0.114286 -]3.45;3.65] 5 0.047619 -]3.65;3.95] 7 0.0666667 -]3.95;4.15] 2 0.0190476 -]4.15;+inf[ 2 0.0190476 - - ----------------------------------------------- -Rank R12 -Variable Numerical UpperPetalWidth - -Variable stats -Interval Frequency Coverage -]-inf;1.65] 70 0.666667 -]1.65;1.75] 1 0.00952381 -]1.75;1.85] 9 0.0857143 -]1.85;1.95] 2 0.0190476 -]1.95;2.05] 5 0.047619 -]2.05;2.15] 4 0.0380952 -]2.15;2.25] 3 0.0285714 -]2.25;2.35] 8 0.0761905 -]2.35;2.45] 2 0.0190476 -]2.45;+inf[ 1 0.00952381 - +#Khiops 10.1.5 +Descriptive statistics + + +Problem description +Short description + +Dictionary Iris +Variables + Categorical 4 + Numerical 8 + Total 12 + +Database ../../../datasets/Iris/Iris.txt +Sample percentage 70 +Sampling mode Include sample +Selection variable +Selection value +Instances 105 + +Learning task Unsupervised analysis + +Evaluated variables 12 +Native variables 5 +Constructed variables 7 + +Max number of constructed variables 0 +Max number of trees 0 +Max number of variable pairs 100 +Discretization EqualWidth +Value grouping BasicGrouping + + +Categorical variables statistics + +Rank Name Values Mode Mode coverage Constr. cost Derivation rule +R01 Class 3 Iris-setosa 0.361905 3.17805 +R02 Class1 2 0.638095 3.17805 IfC(EQc(Class, "Iris-setosa"), "setosa", "") +R03 Class2 2 0.695238 3.17805 IfC(EQc(Class, "Iris-versicolor"), "versicolor", "") +R09 SPetalLength 5 1 0.361905 3.17805 AsCategorical(Floor(PetalLength)) + + +Numerical variables statistics + +Rank Name Values Min Max Mean Std dev Missing number Constr. cost Derivation rule +R04 Dummy1 1 0 0 0 0 0 3.17805 Copy(0) +R05 Dummy2 105 0.005121241265 0.9859650261 0.5173966838 0.2650019122 0 3.17805 Random() +R06 LowerPetalLength 10 1 3 2.446666667 0.7433600251 0 3.17805 If(LE(PetalLength, 3), PetalLength, 3) +R07 PetalLength 36 1 6.9 3.686666667 1.80132579 0 3.17805 +R08 PetalWidth 21 0.1 2.5 1.175238095 0.7880996979 0 3.17805 +R10 SepalLength 31 4.3 7.7 5.827619048 0.8375127846 0 3.17805 +R11 SepalWidth 23 2 4.4 3.081904762 0.4284592446 0 3.17805 +R12 UpperPetalWidth 11 1.5 2.5 1.692380952 0.2962287527 0 3.17805 If(GE(PetalWidth, 1.5), PetalWidth, 1.5) + + +-------------------------------------------------------------------------------- + +Variables detailed statistics + + +Rank R01 +Variable Categorical Class + +Variable stats +Group Frequency Coverage Size Value list +{Iris-setosa} 38 0.361905 1 Iris-setosa +{Iris-virginica} 35 0.333333 1 Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * + + +Values +Value Frequency Coverage +Iris-setosa 38 0.361905 +Iris-virginica 35 0.333333 +Iris-versicolor 32 0.304762 + +---------------------------------------------- +Rank R02 +Variable Categorical Class1 + +Variable stats +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * + + +Values +Value Frequency Coverage + 67 0.638095 +setosa 38 0.361905 + +---------------------------------------------- +Rank R03 +Variable Categorical Class2 + +Variable stats +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * + + +Values +Value Frequency Coverage + 73 0.695238 +versicolor 32 0.304762 + +---------------------------------------------- +Rank R05 +Variable Numerical Dummy2 + +Variable stats +Interval Frequency Coverage +]-inf;0.102] 7 0.0666667 +]0.102;0.206] 9 0.0857143 +]0.206;0.296] 8 0.0761905 +]0.296;0.403] 14 0.133333 +]0.403;0.4979] 13 0.12381 +]0.4979;0.5879] 14 0.133333 +]0.5879;0.698] 8 0.0761905 +]0.698;0.8] 13 0.12381 +]0.8;0.894] 10 0.0952381 +]0.894;+inf[ 9 0.0857143 + + +---------------------------------------------- +Rank R06 +Variable Numerical LowerPetalLength + +Variable stats +Interval Frequency Coverage +]-inf;1.25] 4 0.0380952 +]1.25;1.45] 13 0.12381 +]1.45;1.65] 15 0.142857 +]1.65;1.8] 4 0.0380952 +]1.8;2.4] 2 0.0190476 +]2.4;+inf[ 67 0.638095 + + +---------------------------------------------- +Rank R07 +Variable Numerical PetalLength + +Variable stats +Interval Frequency Coverage +]-inf;1.55] 27 0.257143 +]1.55;2.4] 11 0.104762 +]2.4;3.4] 2 0.0190476 +]3.4;3.95] 6 0.0571429 +]3.95;4.6] 15 0.142857 +]4.6;5.15] 18 0.171429 +]5.15;5.75] 15 0.142857 +]5.75;6.4] 8 0.0761905 +]6.4;+inf[ 3 0.0285714 + + +---------------------------------------------- +Rank R08 +Variable Numerical PetalWidth + +Variable stats +Interval Frequency Coverage +]-inf;0.35] 31 0.295238 +]0.35;0.75] 7 0.0666667 +]0.75;1.05] 5 0.047619 +]1.05;1.35] 13 0.12381 +]1.35;1.55] 11 0.104762 +]1.55;1.75] 4 0.0380952 +]1.75;2.05] 16 0.152381 +]2.05;2.25] 7 0.0666667 +]2.25;+inf[ 11 0.104762 + + +---------------------------------------------- +Rank R09 +Variable Categorical SPetalLength + +Variable stats +Group Frequency Coverage Size Value list +{1} 38 0.361905 1 1 +{5} 27 0.257143 1 5 +{4} 25 0.238095 1 4 +{3} 8 0.0761905 1 3 +{6} 7 0.0666667 1 6 * + + +Values +Value Frequency Coverage +1 38 0.361905 +5 27 0.257143 +4 25 0.238095 +3 8 0.0761905 +6 7 0.0666667 + +---------------------------------------------- +Rank R10 +Variable Numerical SepalLength + +Variable stats +Interval Frequency Coverage +]-inf;4.65] 7 0.0666667 +]4.65;4.95] 11 0.104762 +]4.95;5.35] 16 0.152381 +]5.35;5.65] 13 0.12381 +]5.65;6.05] 16 0.152381 +]6.05;6.35] 12 0.114286 +]6.35;6.65] 10 0.0952381 +]6.65;7.05] 12 0.114286 +]7.05;7.3] 3 0.0285714 +]7.3;+inf[ 5 0.047619 + + +---------------------------------------------- +Rank R11 +Variable Numerical SepalWidth + +Variable stats +Interval Frequency Coverage +]-inf;2.25] 2 0.0190476 +]2.25;2.45] 3 0.0285714 +]2.45;2.75] 14 0.133333 +]2.75;2.95] 17 0.161905 +]2.95;3.25] 41 0.390476 +]3.25;3.45] 12 0.114286 +]3.45;3.65] 5 0.047619 +]3.65;3.95] 7 0.0666667 +]3.95;4.15] 2 0.0190476 +]4.15;+inf[ 2 0.0190476 + + +---------------------------------------------- +Rank R12 +Variable Numerical UpperPetalWidth + +Variable stats +Interval Frequency Coverage +]-inf;1.65] 70 0.666667 +]1.65;1.75] 1 0.00952381 +]1.75;1.85] 9 0.0857143 +]1.85;1.95] 2 0.0190476 +]1.95;2.05] 5 0.047619 +]2.05;2.15] 4 0.0380952 +]2.15;2.25] 3 0.0285714 +]2.25;2.35] 8 0.0761905 +]2.35;2.45] 2 0.0190476 +]2.45;+inf[ 1 0.00952381 + diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/PreparationReport2D.xls b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/PreparationReport2D.xls similarity index 95% rename from test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/PreparationReport2D.xls rename to test/LearningTest/TestKhiops/Standard/IrisU/results.ref/PreparationReport2D.xls index 5bed7be3d..fa399cd45 100644 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/PreparationReport2D.xls +++ b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/PreparationReport2D.xls @@ -1,1407 +1,1407 @@ -#Khiops 10.1 -Descriptive statistics - - -Problem description -Short description - -Dictionary Iris -Variables - Categorical 4 - Numerical 8 - Total 12 - -Database ../../../datasets/Iris/Iris.txt -Sample percentage 70 -Sampling mode Include sample -Selection variable -Selection value -Instances 105 - -Learning task Unsupervised analysis - -Evaluated variable pairs 55 -Informative variable pairs 38 - - -Variables pairs statistics - -Rank Name 1 Name 2 Level Variables Parts 1 Parts 2 Cells Constr. cost Prep. cost Data cost -R01 Class Class1 0.286471 2 2 2 2 6.71557 18.9311 110.25 -R02 Class Class2 0.270234 2 2 2 2 6.71557 19.0156 110.25 -R03 Class SPetalLength 0.258511 2 3 3 5 6.71557 41.7647 157.188 -R04 Class1 SPetalLength 0.231831 2 2 2 2 6.71557 27.2099 142.253 -R05 PetalLength SPetalLength 0.151582 2 5 5 5 6.71557 69.091 386.913 -R06 Class2 SPetalLength 0.142436 2 2 2 4 6.71557 27.7273 158.704 -R07 Class PetalWidth 0.14197 2 3 3 5 6.71557 31.1679 396.708 -R08 Class PetalLength 0.136908 2 3 3 5 6.71557 31.1679 399.272 -R09 Class1 LowerPetalLength 0.111506 2 2 2 2 6.71557 13.7255 386.913 -R10 Class1 PetalLength 0.111506 2 2 2 2 6.71557 13.7255 386.913 -R11 Class1 PetalWidth 0.111506 2 2 2 2 6.71557 13.7255 386.913 -R12 PetalWidth SPetalLength 0.109807 2 3 3 5 6.71557 40.5555 438.232 -R13 Class LowerPetalLength 0.0982915 2 2 2 2 6.71557 19.0436 430.955 -R14 LowerPetalLength SPetalLength 0.0887331 2 2 2 2 6.71557 27.3225 462.959 -R15 PetalLength PetalWidth 0.0785935 2 3 3 4 6.71557 29.9587 676.972 -R16 Class UpperPetalWidth 0.0721164 2 2 2 4 6.71557 19.0868 444.17 -R17 PetalWidth UpperPetalWidth 0.0703191 2 3 3 3 6.71557 29.9587 683.381 -R18 LowerPetalLength PetalLength 0.0701201 2 3 3 3 6.71557 29.9587 683.535 -R19 Class2 PetalWidth 0.0662843 2 2 3 5 6.71557 20.8147 396.708 -R20 SPetalLength SepalLength 0.0654694 2 3 4 5 6.71557 49.4973 453.472 -R21 Class2 PetalLength 0.0606416 2 2 3 5 6.71557 20.8147 399.272 -R22 LowerPetalLength PetalWidth 0.0598398 2 2 2 2 6.71557 13.838 707.618 -R23 Class SepalLength 0.059526 2 3 3 7 6.71557 31.1679 438.466 -R24 Class1 Class2 0.0559199 2 2 2 3 6.71557 13.6129 110.25 -R25 Class1 SepalLength 0.0531576 2 2 2 4 6.71557 13.7255 413.664 -R26 SPetalLength UpperPetalWidth 0.0466723 2 3 2 5 6.71557 31.8478 481.373 -R27 PetalLength SepalLength 0.0407398 2 4 4 8 6.71557 47.7303 688.519 -R28 PetalLength UpperPetalWidth 0.0401281 2 2 2 3 6.71557 13.838 722.885 -R29 PetalWidth SepalLength 0.0303985 2 3 3 8 6.71557 29.9587 714.3 -R30 LowerPetalLength SepalLength 0.0253003 2 2 2 4 6.71557 13.838 734.369 -R31 Class1 UpperPetalWidth 0.0166012 2 2 2 3 6.71557 13.7255 430.424 -R32 SepalLength UpperPetalWidth 0.0164148 2 2 2 4 6.71557 13.838 741.251 -R33 Class1 SepalWidth 0.00749643 2 2 3 5 6.71557 20.8147 427.509 -R34 Class2 LowerPetalLength 0.0065114 2 2 2 3 6.71557 13.7255 430.955 -R35 Class SepalWidth 0.00543684 2 3 2 6 6.71557 22.1365 474.893 -R36 SPetalLength SepalWidth 0.00373995 2 3 3 9 6.71557 38.9735 497.662 -R37 LowerPetalLength UpperPetalWidth 0.00366071 2 2 2 3 6.71557 13.838 751.129 -R38 PetalWidth SepalWidth 0.00221737 2 3 2 6 6.71557 20.9273 745.158 -R39 Class Dummy2 0 0 1 1 1 0.693147 8.64312 497.163 -R40 Class1 Dummy2 0 0 1 1 1 0.693147 4.66344 453.12 -R41 Class2 Dummy2 0 0 1 1 1 0.693147 4.66344 448.998 -R42 Class2 SepalLength 0 0 1 1 1 0.693147 4.66344 448.998 -R43 Class2 SepalWidth 0 0 1 1 1 0.693147 4.66344 448.998 -R44 Class2 UpperPetalWidth 0 0 1 1 1 0.693147 4.66344 448.998 -R45 Dummy2 LowerPetalLength 0 0 1 1 1 0.693147 0 773.825 -R46 Dummy2 PetalLength 0 0 1 1 1 0.693147 0 773.825 -R47 Dummy2 PetalWidth 0 0 1 1 1 0.693147 0 773.825 -R48 Dummy2 SPetalLength 0 0 1 1 1 0.693147 15.5317 529.166 -R49 Dummy2 SepalLength 0 0 1 1 1 0.693147 0 773.825 -R50 Dummy2 SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R51 Dummy2 UpperPetalWidth 0 0 1 1 1 0.693147 0 773.825 -R52 LowerPetalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R53 PetalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R54 SepalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 -R55 SepalWidth UpperPetalWidth 0 0 1 1 1 0.693147 0 773.825 - - --------------------------------------------------------------------------------- - -Variables pairs detailed statistics -(Pairs with two jointly informative variables) - - -Rank R01 -Variables - Type Name - Categorical Class - Categorical Class1 - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-virginica, Iris-versicolor} 67 0.638095 2 Iris-virginica Iris-versicolor * -{Iris-setosa} 38 0.361905 1 Iris-setosa -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * - -Cell frequencies - Class1 -Class {} {setosa} Total Coverage -{Iris-virginica, Iris-versicolor} 67 0 67 0.638095 -{Iris-setosa} 0 38 38 0.361905 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 2 -Cell Id Class Class1 Frequency Coverage -C1 {Iris-virginica, Iris-versicolor} {} 67 0.638095 -C4 {Iris-setosa} {setosa} 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R02 -Variables - Type Name - Categorical Class - Categorical Class2 - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa, Iris-virginica} 73 0.695238 2 Iris-setosa Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * -Class2 -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * - -Cell frequencies - Class2 -Class {} {versicolor} Total Coverage -{Iris-setosa, Iris-virginica} 73 0 73 0.695238 -{Iris-versicolor} 0 32 32 0.304762 -Total 73 32 105 -Coverage 0.695238 0.304762 - -Cells 2 -Cell Id Class Class2 Frequency Coverage -C1 {Iris-setosa, Iris-virginica} {} 73 0.695238 -C4 {Iris-versicolor} {versicolor} 32 0.304762 - Total 105 1 - ----------------------------------------------- -Rank R03 -Variables - Type Name - Categorical Class - Categorical SPetalLength - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa} 38 0.361905 1 Iris-setosa -{Iris-virginica} 35 0.333333 1 Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * -SPetalLength -Group Frequency Coverage Size Value list -{1} 38 0.361905 1 1 -{5, 6} 34 0.32381 2 5 6 * -{4, 3} 33 0.314286 2 4 3 - -Cell frequencies - SPetalLength -Class {1} {5, 6} {4, 3} Total Coverage -{Iris-setosa} 38 0 0 38 0.361905 -{Iris-virginica} 0 32 3 35 0.333333 -{Iris-versicolor} 0 2 30 32 0.304762 -Total 38 34 33 105 -Coverage 0.361905 0.32381 0.314286 - -Cells 5 -Cell Id Class SPetalLength Frequency Coverage -C1 {Iris-setosa} {1} 38 0.361905 -C5 {Iris-virginica} {5, 6} 32 0.304762 -C9 {Iris-versicolor} {4, 3} 30 0.285714 -C8 {Iris-virginica} {4, 3} 3 0.0285714 -C6 {Iris-versicolor} {5, 6} 2 0.0190476 - Total 105 1 - ----------------------------------------------- -Rank R04 -Variables - Type Name - Categorical Class1 - Categorical SPetalLength - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -SPetalLength -Group Frequency Coverage Size Value list -{5, 4, 3, ...} 67 0.638095 4 5 4 3 6 * -{1} 38 0.361905 1 1 - -Cell frequencies - SPetalLength -Class1 {5, 4, 3, ...} {1} Total Coverage -{} 67 0 67 0.638095 -{setosa} 0 38 38 0.361905 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 2 -Cell Id Class1 SPetalLength Frequency Coverage -C1 {} {5, 4, 3, ...} 67 0.638095 -C4 {setosa} {1} 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R05 -Variables - Type Name - Numerical PetalLength - Categorical SPetalLength - -Variables stats -PetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;3.95] 8 0.0761905 -]3.95;4.95] 25 0.238095 -]4.95;5.95] 27 0.257143 -]5.95;+inf[ 7 0.0666667 -SPetalLength -Group Frequency Coverage Size Value list -{1} 38 0.361905 1 1 -{5} 27 0.257143 1 5 -{4} 25 0.238095 1 4 -{3} 8 0.0761905 1 3 -{6} 7 0.0666667 1 6 * - -Cell frequencies - SPetalLength -PetalLength {1} {5} {4} {3} {6} Total Coverage -]-inf;2.4] 38 0 0 0 0 38 0.361905 -]2.4;3.95] 0 0 0 8 0 8 0.0761905 -]3.95;4.95] 0 0 25 0 0 25 0.238095 -]4.95;5.95] 0 27 0 0 0 27 0.257143 -]5.95;+inf[ 0 0 0 0 7 7 0.0666667 -Total 38 27 25 8 7 105 -Coverage 0.361905 0.257143 0.238095 0.0761905 0.0666667 - -Cells 5 -Cell Id PetalLength SPetalLength Frequency Coverage -C1 ]-inf;2.4] {1} 38 0.361905 -C9 ]4.95;5.95] {5} 27 0.257143 -C13 ]3.95;4.95] {4} 25 0.238095 -C17 ]2.4;3.95] {3} 8 0.0761905 -C25 ]5.95;+inf[ {6} 7 0.0666667 - Total 105 1 - ----------------------------------------------- -Rank R06 -Variables - Type Name - Categorical Class2 - Categorical SPetalLength - -Variables stats -Class2 -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * -SPetalLength -Group Frequency Coverage Size Value list -{1, 5, 6} 72 0.685714 3 1 5 6 * -{4, 3} 33 0.314286 2 4 3 - -Cell frequencies - SPetalLength -Class2 {1, 5, 6} {4, 3} Total Coverage -{} 70 3 73 0.695238 -{versicolor} 2 30 32 0.304762 -Total 72 33 105 -Coverage 0.685714 0.314286 - -Cells 4 -Cell Id Class2 SPetalLength Frequency Coverage -C1 {} {1, 5, 6} 70 0.666667 -C4 {versicolor} {4, 3} 30 0.285714 -C3 {} {4, 3} 3 0.0285714 -C2 {versicolor} {1, 5, 6} 2 0.0190476 - Total 105 1 - ----------------------------------------------- -Rank R07 -Variables - Type Name - Categorical Class - Numerical PetalWidth - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa} 38 0.361905 1 Iris-setosa -{Iris-virginica} 35 0.333333 1 Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;1.75] 33 0.314286 -]1.75;+inf[ 34 0.32381 - -Cell frequencies - PetalWidth -Class ]-inf;0.75] ]0.75;1.75] ]1.75;+inf[ Total Coverage -{Iris-setosa} 38 0 0 38 0.361905 -{Iris-virginica} 0 2 33 35 0.333333 -{Iris-versicolor} 0 31 1 32 0.304762 -Total 38 33 34 105 -Coverage 0.361905 0.314286 0.32381 - -Cells 5 -Cell Id Class PetalWidth Frequency Coverage -C1 {Iris-setosa} ]-inf;0.75] 38 0.361905 -C8 {Iris-virginica} ]1.75;+inf[ 33 0.314286 -C6 {Iris-versicolor} ]0.75;1.75] 31 0.295238 -C5 {Iris-virginica} ]0.75;1.75] 2 0.0190476 -C9 {Iris-versicolor} ]1.75;+inf[ 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R08 -Variables - Type Name - Categorical Class - Numerical PetalLength - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa} 38 0.361905 1 Iris-setosa -{Iris-virginica} 35 0.333333 1 Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * -PetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;4.85] 30 0.285714 -]4.85;+inf[ 37 0.352381 - -Cell frequencies - PetalLength -Class ]-inf;2.4] ]2.4;4.85] ]4.85;+inf[ Total Coverage -{Iris-setosa} 38 0 0 38 0.361905 -{Iris-virginica} 0 1 34 35 0.333333 -{Iris-versicolor} 0 29 3 32 0.304762 -Total 38 30 37 105 -Coverage 0.361905 0.285714 0.352381 - -Cells 5 -Cell Id Class PetalLength Frequency Coverage -C1 {Iris-setosa} ]-inf;2.4] 38 0.361905 -C8 {Iris-virginica} ]4.85;+inf[ 34 0.32381 -C6 {Iris-versicolor} ]2.4;4.85] 29 0.27619 -C9 {Iris-versicolor} ]4.85;+inf[ 3 0.0285714 -C5 {Iris-virginica} ]2.4;4.85] 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R09 -Variables - Type Name - Categorical Class1 - Numerical LowerPetalLength - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 - -Cell frequencies - LowerPetalLength -Class1 ]-inf;2.4] ]2.4;+inf[ Total Coverage -{} 0 67 67 0.638095 -{setosa} 38 0 38 0.361905 -Total 38 67 105 -Coverage 0.361905 0.638095 - -Cells 2 -Cell Id Class1 LowerPetalLength Frequency Coverage -C3 {} ]2.4;+inf[ 67 0.638095 -C2 {setosa} ]-inf;2.4] 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R10 -Variables - Type Name - Categorical Class1 - Numerical PetalLength - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -PetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 - -Cell frequencies - PetalLength -Class1 ]-inf;2.4] ]2.4;+inf[ Total Coverage -{} 0 67 67 0.638095 -{setosa} 38 0 38 0.361905 -Total 38 67 105 -Coverage 0.361905 0.638095 - -Cells 2 -Cell Id Class1 PetalLength Frequency Coverage -C3 {} ]2.4;+inf[ 67 0.638095 -C2 {setosa} ]-inf;2.4] 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R11 -Variables - Type Name - Categorical Class1 - Numerical PetalWidth - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;+inf[ 67 0.638095 - -Cell frequencies - PetalWidth -Class1 ]-inf;0.75] ]0.75;+inf[ Total Coverage -{} 0 67 67 0.638095 -{setosa} 38 0 38 0.361905 -Total 38 67 105 -Coverage 0.361905 0.638095 - -Cells 2 -Cell Id Class1 PetalWidth Frequency Coverage -C3 {} ]0.75;+inf[ 67 0.638095 -C2 {setosa} ]-inf;0.75] 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R12 -Variables - Type Name - Numerical PetalWidth - Categorical SPetalLength - -Variables stats -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;1.65] 32 0.304762 -]1.65;+inf[ 35 0.333333 -SPetalLength -Group Frequency Coverage Size Value list -{1} 38 0.361905 1 1 -{5, 6} 34 0.32381 2 5 6 * -{4, 3} 33 0.314286 2 4 3 - -Cell frequencies - SPetalLength -PetalWidth {1} {5, 6} {4, 3} Total Coverage -]-inf;0.75] 38 0 0 38 0.361905 -]0.75;1.65] 0 3 29 32 0.304762 -]1.65;+inf[ 0 31 4 35 0.333333 -Total 38 34 33 105 -Coverage 0.361905 0.32381 0.314286 - -Cells 5 -Cell Id PetalWidth SPetalLength Frequency Coverage -C1 ]-inf;0.75] {1} 38 0.361905 -C6 ]1.65;+inf[ {5, 6} 31 0.295238 -C8 ]0.75;1.65] {4, 3} 29 0.27619 -C9 ]1.65;+inf[ {4, 3} 4 0.0380952 -C5 ]0.75;1.65] {5, 6} 3 0.0285714 - Total 105 1 - ----------------------------------------------- -Rank R13 -Variables - Type Name - Categorical Class - Numerical LowerPetalLength - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-virginica, Iris-versicolor} 67 0.638095 2 Iris-virginica Iris-versicolor * -{Iris-setosa} 38 0.361905 1 Iris-setosa -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 - -Cell frequencies - LowerPetalLength -Class ]-inf;2.4] ]2.4;+inf[ Total Coverage -{Iris-virginica, Iris-versicolor} 0 67 67 0.638095 -{Iris-setosa} 38 0 38 0.361905 -Total 38 67 105 -Coverage 0.361905 0.638095 - -Cells 2 -Cell Id Class LowerPetalLength Frequency Coverage -C3 {Iris-virginica, Iris-versicolor} ]2.4;+inf[ 67 0.638095 -C2 {Iris-setosa} ]-inf;2.4] 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R14 -Variables - Type Name - Numerical LowerPetalLength - Categorical SPetalLength - -Variables stats -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 -SPetalLength -Group Frequency Coverage Size Value list -{5, 4, 3, ...} 67 0.638095 4 5 4 3 6 * -{1} 38 0.361905 1 1 - -Cell frequencies - SPetalLength -LowerPetalLength {5, 4, 3, ...} {1} Total Coverage -]-inf;2.4] 0 38 38 0.361905 -]2.4;+inf[ 67 0 67 0.638095 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 2 -Cell Id LowerPetalLength SPetalLength Frequency Coverage -C2 ]2.4;+inf[ {5, 4, 3, ...} 67 0.638095 -C3 ]-inf;2.4] {1} 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R15 -Variables - Type Name - Numerical PetalLength - Numerical PetalWidth - -Variables stats -PetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;4.75] 27 0.257143 -]4.75;+inf[ 40 0.380952 -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;1.65] 32 0.304762 -]1.65;+inf[ 35 0.333333 - -Cell frequencies - PetalWidth -PetalLength ]-inf;0.75] ]0.75;1.65] ]1.65;+inf[ Total Coverage -]-inf;2.4] 38 0 0 38 0.361905 -]2.4;4.75] 0 27 0 27 0.257143 -]4.75;+inf[ 0 5 35 40 0.380952 -Total 38 32 35 105 -Coverage 0.361905 0.304762 0.333333 - -Cells 4 -Cell Id PetalLength PetalWidth Frequency Coverage -C1 ]-inf;2.4] ]-inf;0.75] 38 0.361905 -C9 ]4.75;+inf[ ]1.65;+inf[ 35 0.333333 -C5 ]2.4;4.75] ]0.75;1.65] 27 0.257143 -C6 ]4.75;+inf[ ]0.75;1.65] 5 0.047619 - Total 105 1 - ----------------------------------------------- -Rank R16 -Variables - Type Name - Categorical Class - Numerical UpperPetalWidth - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa, Iris-versicolor} 70 0.666667 2 Iris-setosa Iris-versicolor * -{Iris-virginica} 35 0.333333 1 Iris-virginica -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.75] 71 0.67619 -]1.75;+inf[ 34 0.32381 - -Cell frequencies - UpperPetalWidth -Class ]-inf;1.75] ]1.75;+inf[ Total Coverage -{Iris-setosa, Iris-versicolor} 69 1 70 0.666667 -{Iris-virginica} 2 33 35 0.333333 -Total 71 34 105 -Coverage 0.67619 0.32381 - -Cells 4 -Cell Id Class UpperPetalWidth Frequency Coverage -C1 {Iris-setosa, Iris-versicolor} ]-inf;1.75] 69 0.657143 -C4 {Iris-virginica} ]1.75;+inf[ 33 0.314286 -C2 {Iris-virginica} ]-inf;1.75] 2 0.0190476 -C3 {Iris-setosa, Iris-versicolor} ]1.75;+inf[ 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R17 -Variables - Type Name - Numerical PetalWidth - Numerical UpperPetalWidth - -Variables stats -PetalWidth -Interval Frequency Coverage -]-inf;1.55] 67 0.638095 -]1.55;2.05] 20 0.190476 -]2.05;+inf[ 18 0.171429 -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.55] 67 0.638095 -]1.55;2.05] 20 0.190476 -]2.05;+inf[ 18 0.171429 - -Cell frequencies - UpperPetalWidth -PetalWidth ]-inf;1.55] ]1.55;2.05] ]2.05;+inf[ Total Coverage -]-inf;1.55] 67 0 0 67 0.638095 -]1.55;2.05] 0 20 0 20 0.190476 -]2.05;+inf[ 0 0 18 18 0.171429 -Total 67 20 18 105 -Coverage 0.638095 0.190476 0.171429 - -Cells 3 -Cell Id PetalWidth UpperPetalWidth Frequency Coverage -C1 ]-inf;1.55] ]-inf;1.55] 67 0.638095 -C5 ]1.55;2.05] ]1.55;2.05] 20 0.190476 -C9 ]2.05;+inf[ ]2.05;+inf[ 18 0.171429 - Total 105 1 - ----------------------------------------------- -Rank R18 -Variables - Type Name - Numerical LowerPetalLength - Numerical PetalLength - -Variables stats -LowerPetalLength -Interval Frequency Coverage -]-inf;1.45] 17 0.161905 -]1.45;2.4] 21 0.2 -]2.4;+inf[ 67 0.638095 -PetalLength -Interval Frequency Coverage -]-inf;1.45] 17 0.161905 -]1.45;2.4] 21 0.2 -]2.4;+inf[ 67 0.638095 - -Cell frequencies - PetalLength -LowerPetalLength ]-inf;1.45] ]1.45;2.4] ]2.4;+inf[ Total Coverage -]-inf;1.45] 17 0 0 17 0.161905 -]1.45;2.4] 0 21 0 21 0.2 -]2.4;+inf[ 0 0 67 67 0.638095 -Total 17 21 67 105 -Coverage 0.161905 0.2 0.638095 - -Cells 3 -Cell Id LowerPetalLength PetalLength Frequency Coverage -C9 ]2.4;+inf[ ]2.4;+inf[ 67 0.638095 -C5 ]1.45;2.4] ]1.45;2.4] 21 0.2 -C1 ]-inf;1.45] ]-inf;1.45] 17 0.161905 - Total 105 1 - ----------------------------------------------- -Rank R19 -Variables - Type Name - Categorical Class2 - Numerical PetalWidth - -Variables stats -Class2 -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;1.75] 33 0.314286 -]1.75;+inf[ 34 0.32381 - -Cell frequencies - PetalWidth -Class2 ]-inf;0.75] ]0.75;1.75] ]1.75;+inf[ Total Coverage -{} 38 2 33 73 0.695238 -{versicolor} 0 31 1 32 0.304762 -Total 38 33 34 105 -Coverage 0.361905 0.314286 0.32381 - -Cells 5 -Cell Id Class2 PetalWidth Frequency Coverage -C1 {} ]-inf;0.75] 38 0.361905 -C5 {} ]1.75;+inf[ 33 0.314286 -C4 {versicolor} ]0.75;1.75] 31 0.295238 -C3 {} ]0.75;1.75] 2 0.0190476 -C6 {versicolor} ]1.75;+inf[ 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R20 -Variables - Type Name - Categorical SPetalLength - Numerical SepalLength - -Variables stats -SPetalLength -Group Frequency Coverage Size Value list -{5, 4} 52 0.495238 2 5 4 -{1, 3} 46 0.438095 2 1 3 -{6} 7 0.0666667 1 6 * -SepalLength -Interval Frequency Coverage -]-inf;5.35] 34 0.32381 -]5.35;5.85] 22 0.209524 -]5.85;7.15] 42 0.4 -]7.15;+inf[ 7 0.0666667 - -Cell frequencies - SepalLength -SPetalLength ]-inf;5.35] ]5.35;5.85] ]5.85;7.15] ]7.15;+inf[ Total Coverage -{5, 4} 0 10 42 0 52 0.495238 -{1, 3} 34 12 0 0 46 0.438095 -{6} 0 0 0 7 7 0.0666667 -Total 34 22 42 7 105 -Coverage 0.32381 0.209524 0.4 0.0666667 - -Cells 5 -Cell Id SPetalLength SepalLength Frequency Coverage -C7 {5, 4} ]5.85;7.15] 42 0.4 -C2 {1, 3} ]-inf;5.35] 34 0.32381 -C5 {1, 3} ]5.35;5.85] 12 0.114286 -C4 {5, 4} ]5.35;5.85] 10 0.0952381 -C12 {6} ]7.15;+inf[ 7 0.0666667 - Total 105 1 - ----------------------------------------------- -Rank R21 -Variables - Type Name - Categorical Class2 - Numerical PetalLength - -Variables stats -Class2 -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * -PetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;4.85] 30 0.285714 -]4.85;+inf[ 37 0.352381 - -Cell frequencies - PetalLength -Class2 ]-inf;2.4] ]2.4;4.85] ]4.85;+inf[ Total Coverage -{} 38 1 34 73 0.695238 -{versicolor} 0 29 3 32 0.304762 -Total 38 30 37 105 -Coverage 0.361905 0.285714 0.352381 - -Cells 5 -Cell Id Class2 PetalLength Frequency Coverage -C1 {} ]-inf;2.4] 38 0.361905 -C5 {} ]4.85;+inf[ 34 0.32381 -C4 {versicolor} ]2.4;4.85] 29 0.27619 -C6 {versicolor} ]4.85;+inf[ 3 0.0285714 -C3 {} ]2.4;4.85] 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R22 -Variables - Type Name - Numerical LowerPetalLength - Numerical PetalWidth - -Variables stats -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;+inf[ 67 0.638095 - -Cell frequencies - PetalWidth -LowerPetalLength ]-inf;0.75] ]0.75;+inf[ Total Coverage -]-inf;2.4] 38 0 38 0.361905 -]2.4;+inf[ 0 67 67 0.638095 -Total 38 67 105 -Coverage 0.361905 0.638095 - -Cells 2 -Cell Id LowerPetalLength PetalWidth Frequency Coverage -C4 ]2.4;+inf[ ]0.75;+inf[ 67 0.638095 -C1 ]-inf;2.4] ]-inf;0.75] 38 0.361905 - Total 105 1 - ----------------------------------------------- -Rank R23 -Variables - Type Name - Categorical Class - Numerical SepalLength - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa} 38 0.361905 1 Iris-setosa -{Iris-virginica} 35 0.333333 1 Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * -SepalLength -Interval Frequency Coverage -]-inf;5.45] 39 0.371429 -]5.45;6.15] 28 0.266667 -]6.15;+inf[ 38 0.361905 - -Cell frequencies - SepalLength -Class ]-inf;5.45] ]5.45;6.15] ]6.15;+inf[ Total Coverage -{Iris-setosa} 34 4 0 38 0.361905 -{Iris-virginica} 0 5 30 35 0.333333 -{Iris-versicolor} 5 19 8 32 0.304762 -Total 39 28 38 105 -Coverage 0.371429 0.266667 0.361905 - -Cells 7 -Cell Id Class SepalLength Frequency Coverage -C1 {Iris-setosa} ]-inf;5.45] 34 0.32381 -C8 {Iris-virginica} ]6.15;+inf[ 30 0.285714 -C6 {Iris-versicolor} ]5.45;6.15] 19 0.180952 -C9 {Iris-versicolor} ]6.15;+inf[ 8 0.0761905 -C5 {Iris-virginica} ]5.45;6.15] 5 0.047619 -C3 {Iris-versicolor} ]-inf;5.45] 5 0.047619 -C4 {Iris-setosa} ]5.45;6.15] 4 0.0380952 - Total 105 1 - ----------------------------------------------- -Rank R24 -Variables - Type Name - Categorical Class1 - Categorical Class2 - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -Class2 -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * - -Cell frequencies - Class2 -Class1 {} {versicolor} Total Coverage -{} 35 32 67 0.638095 -{setosa} 38 0 38 0.361905 -Total 73 32 105 -Coverage 0.695238 0.304762 - -Cells 3 -Cell Id Class1 Class2 Frequency Coverage -C2 {setosa} {} 38 0.361905 -C1 {} {} 35 0.333333 -C3 {} {versicolor} 32 0.304762 - Total 105 1 - ----------------------------------------------- -Rank R25 -Variables - Type Name - Categorical Class1 - Numerical SepalLength - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -SepalLength -Interval Frequency Coverage -]-inf;5.45] 39 0.371429 -]5.45;+inf[ 66 0.628571 - -Cell frequencies - SepalLength -Class1 ]-inf;5.45] ]5.45;+inf[ Total Coverage -{} 5 62 67 0.638095 -{setosa} 34 4 38 0.361905 -Total 39 66 105 -Coverage 0.371429 0.628571 - -Cells 4 -Cell Id Class1 SepalLength Frequency Coverage -C3 {} ]5.45;+inf[ 62 0.590476 -C2 {setosa} ]-inf;5.45] 34 0.32381 -C1 {} ]-inf;5.45] 5 0.047619 -C4 {setosa} ]5.45;+inf[ 4 0.0380952 - Total 105 1 - ----------------------------------------------- -Rank R26 -Variables - Type Name - Categorical SPetalLength - Numerical UpperPetalWidth - -Variables stats -SPetalLength -Group Frequency Coverage Size Value list -{1, 3} 46 0.438095 2 1 3 -{5, 6} 34 0.32381 2 5 6 * -{4} 25 0.238095 1 4 -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.55] 67 0.638095 -]1.55;+inf[ 38 0.361905 - -Cell frequencies - UpperPetalWidth -SPetalLength ]-inf;1.55] ]1.55;+inf[ Total Coverage -{1, 3} 46 0 46 0.438095 -{5, 6} 2 32 34 0.32381 -{4} 19 6 25 0.238095 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 5 -Cell Id SPetalLength UpperPetalWidth Frequency Coverage -C1 {1, 3} ]-inf;1.55] 46 0.438095 -C5 {5, 6} ]1.55;+inf[ 32 0.304762 -C3 {4} ]-inf;1.55] 19 0.180952 -C6 {4} ]1.55;+inf[ 6 0.0571429 -C2 {5, 6} ]-inf;1.55] 2 0.0190476 - Total 105 1 - ----------------------------------------------- -Rank R27 -Variables - Type Name - Numerical PetalLength - Numerical SepalLength - -Variables stats -PetalLength -Interval Frequency Coverage -]-inf;3.55] 42 0.4 -]3.55;4.6] 19 0.180952 -]4.6;5.95] 37 0.352381 -]5.95;+inf[ 7 0.0666667 -SepalLength -Interval Frequency Coverage -]-inf;5.45] 39 0.371429 -]5.45;5.85] 17 0.161905 -]5.85;7.15] 42 0.4 -]7.15;+inf[ 7 0.0666667 - -Cell frequencies - SepalLength -PetalLength ]-inf;5.45] ]5.45;5.85] ]5.85;7.15] ]7.15;+inf[ Total Coverage -]-inf;3.55] 37 5 0 0 42 0.4 -]3.55;4.6] 2 10 7 0 19 0.180952 -]4.6;5.95] 0 2 35 0 37 0.352381 -]5.95;+inf[ 0 0 0 7 7 0.0666667 -Total 39 17 42 7 105 -Coverage 0.371429 0.161905 0.4 0.0666667 - -Cells 8 -Cell Id PetalLength SepalLength Frequency Coverage -C1 ]-inf;3.55] ]-inf;5.45] 37 0.352381 -C11 ]4.6;5.95] ]5.85;7.15] 35 0.333333 -C6 ]3.55;4.6] ]5.45;5.85] 10 0.0952381 -C10 ]3.55;4.6] ]5.85;7.15] 7 0.0666667 -C16 ]5.95;+inf[ ]7.15;+inf[ 7 0.0666667 -C5 ]-inf;3.55] ]5.45;5.85] 5 0.047619 -C2 ]3.55;4.6] ]-inf;5.45] 2 0.0190476 -C7 ]4.6;5.95] ]5.45;5.85] 2 0.0190476 - Total 105 1 - ----------------------------------------------- -Rank R28 -Variables - Type Name - Numerical PetalLength - Numerical UpperPetalWidth - -Variables stats -PetalLength -Interval Frequency Coverage -]-inf;4.75] 65 0.619048 -]4.75;+inf[ 40 0.380952 -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.65] 70 0.666667 -]1.65;+inf[ 35 0.333333 - -Cell frequencies - UpperPetalWidth -PetalLength ]-inf;1.65] ]1.65;+inf[ Total Coverage -]-inf;4.75] 65 0 65 0.619048 -]4.75;+inf[ 5 35 40 0.380952 -Total 70 35 105 -Coverage 0.666667 0.333333 - -Cells 3 -Cell Id PetalLength UpperPetalWidth Frequency Coverage -C1 ]-inf;4.75] ]-inf;1.65] 65 0.619048 -C4 ]4.75;+inf[ ]1.65;+inf[ 35 0.333333 -C2 ]4.75;+inf[ ]-inf;1.65] 5 0.047619 - Total 105 1 - ----------------------------------------------- -Rank R29 -Variables - Type Name - Numerical PetalWidth - Numerical SepalLength - -Variables stats -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;1.35] 18 0.171429 -]1.35;+inf[ 49 0.466667 -SepalLength -Interval Frequency Coverage -]-inf;5.45] 39 0.371429 -]5.45;5.85] 17 0.161905 -]5.85;+inf[ 49 0.466667 - -Cell frequencies - SepalLength -PetalWidth ]-inf;5.45] ]5.45;5.85] ]5.85;+inf[ Total Coverage -]-inf;0.75] 34 4 0 38 0.361905 -]0.75;1.35] 3 10 5 18 0.171429 -]1.35;+inf[ 2 3 44 49 0.466667 -Total 39 17 49 105 -Coverage 0.371429 0.161905 0.466667 - -Cells 8 -Cell Id PetalWidth SepalLength Frequency Coverage -C9 ]1.35;+inf[ ]5.85;+inf[ 44 0.419048 -C1 ]-inf;0.75] ]-inf;5.45] 34 0.32381 -C5 ]0.75;1.35] ]5.45;5.85] 10 0.0952381 -C8 ]0.75;1.35] ]5.85;+inf[ 5 0.047619 -C4 ]-inf;0.75] ]5.45;5.85] 4 0.0380952 -C2 ]0.75;1.35] ]-inf;5.45] 3 0.0285714 -C6 ]1.35;+inf[ ]5.45;5.85] 3 0.0285714 -C3 ]1.35;+inf[ ]-inf;5.45] 2 0.0190476 - Total 105 1 - ----------------------------------------------- -Rank R30 -Variables - Type Name - Numerical LowerPetalLength - Numerical SepalLength - -Variables stats -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 -SepalLength -Interval Frequency Coverage -]-inf;5.45] 39 0.371429 -]5.45;+inf[ 66 0.628571 - -Cell frequencies - SepalLength -LowerPetalLength ]-inf;5.45] ]5.45;+inf[ Total Coverage -]-inf;2.4] 34 4 38 0.361905 -]2.4;+inf[ 5 62 67 0.638095 -Total 39 66 105 -Coverage 0.371429 0.628571 - -Cells 4 -Cell Id LowerPetalLength SepalLength Frequency Coverage -C4 ]2.4;+inf[ ]5.45;+inf[ 62 0.590476 -C1 ]-inf;2.4] ]-inf;5.45] 34 0.32381 -C2 ]2.4;+inf[ ]-inf;5.45] 5 0.047619 -C3 ]-inf;2.4] ]5.45;+inf[ 4 0.0380952 - Total 105 1 - ----------------------------------------------- -Rank R31 -Variables - Type Name - Categorical Class1 - Numerical UpperPetalWidth - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.55] 67 0.638095 -]1.55;+inf[ 38 0.361905 - -Cell frequencies - UpperPetalWidth -Class1 ]-inf;1.55] ]1.55;+inf[ Total Coverage -{} 29 38 67 0.638095 -{setosa} 38 0 38 0.361905 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 3 -Cell Id Class1 UpperPetalWidth Frequency Coverage -C3 {} ]1.55;+inf[ 38 0.361905 -C2 {setosa} ]-inf;1.55] 38 0.361905 -C1 {} ]-inf;1.55] 29 0.27619 - Total 105 1 - ----------------------------------------------- -Rank R32 -Variables - Type Name - Numerical SepalLength - Numerical UpperPetalWidth - -Variables stats -SepalLength -Interval Frequency Coverage -]-inf;5.85] 56 0.533333 -]5.85;+inf[ 49 0.466667 -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.55] 67 0.638095 -]1.55;+inf[ 38 0.361905 - -Cell frequencies - UpperPetalWidth -SepalLength ]-inf;1.55] ]1.55;+inf[ Total Coverage -]-inf;5.85] 54 2 56 0.533333 -]5.85;+inf[ 13 36 49 0.466667 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 4 -Cell Id SepalLength UpperPetalWidth Frequency Coverage -C1 ]-inf;5.85] ]-inf;1.55] 54 0.514286 -C4 ]5.85;+inf[ ]1.55;+inf[ 36 0.342857 -C2 ]5.85;+inf[ ]-inf;1.55] 13 0.12381 -C3 ]-inf;5.85] ]1.55;+inf[ 2 0.0190476 - Total 105 1 - ----------------------------------------------- -Rank R33 -Variables - Type Name - Categorical Class1 - Numerical SepalWidth - -Variables stats -Class1 -Group Frequency Coverage Size Value list -{} 67 0.638095 1 -{setosa} 38 0.361905 1 setosa * -SepalWidth -Interval Frequency Coverage -]-inf;2.85] 30 0.285714 -]2.85;3.35] 49 0.466667 -]3.35;+inf[ 26 0.247619 - -Cell frequencies - SepalWidth -Class1 ]-inf;2.85] ]2.85;3.35] ]3.35;+inf[ Total Coverage -{} 30 32 5 67 0.638095 -{setosa} 0 17 21 38 0.361905 -Total 30 49 26 105 -Coverage 0.285714 0.466667 0.247619 - -Cells 5 -Cell Id Class1 SepalWidth Frequency Coverage -C3 {} ]2.85;3.35] 32 0.304762 -C1 {} ]-inf;2.85] 30 0.285714 -C6 {setosa} ]3.35;+inf[ 21 0.2 -C4 {setosa} ]2.85;3.35] 17 0.161905 -C5 {} ]3.35;+inf[ 5 0.047619 - Total 105 1 - ----------------------------------------------- -Rank R34 -Variables - Type Name - Categorical Class2 - Numerical LowerPetalLength - -Variables stats -Class2 -Group Frequency Coverage Size Value list -{} 73 0.695238 1 -{versicolor} 32 0.304762 1 versicolor * -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 - -Cell frequencies - LowerPetalLength -Class2 ]-inf;2.4] ]2.4;+inf[ Total Coverage -{} 38 35 73 0.695238 -{versicolor} 0 32 32 0.304762 -Total 38 67 105 -Coverage 0.361905 0.638095 - -Cells 3 -Cell Id Class2 LowerPetalLength Frequency Coverage -C1 {} ]-inf;2.4] 38 0.361905 -C3 {} ]2.4;+inf[ 35 0.333333 -C4 {versicolor} ]2.4;+inf[ 32 0.304762 - Total 105 1 - ----------------------------------------------- -Rank R35 -Variables - Type Name - Categorical Class - Numerical SepalWidth - -Variables stats -Class -Group Frequency Coverage Size Value list -{Iris-setosa} 38 0.361905 1 Iris-setosa -{Iris-virginica} 35 0.333333 1 Iris-virginica -{Iris-versicolor} 32 0.304762 1 Iris-versicolor * -SepalWidth -Interval Frequency Coverage -]-inf;2.95] 36 0.342857 -]2.95;+inf[ 69 0.657143 - -Cell frequencies - SepalWidth -Class ]-inf;2.95] ]2.95;+inf[ Total Coverage -{Iris-setosa} 1 37 38 0.361905 -{Iris-virginica} 13 22 35 0.333333 -{Iris-versicolor} 22 10 32 0.304762 -Total 36 69 105 -Coverage 0.342857 0.657143 - -Cells 6 -Cell Id Class SepalWidth Frequency Coverage -C4 {Iris-setosa} ]2.95;+inf[ 37 0.352381 -C5 {Iris-virginica} ]2.95;+inf[ 22 0.209524 -C3 {Iris-versicolor} ]-inf;2.95] 22 0.209524 -C2 {Iris-virginica} ]-inf;2.95] 13 0.12381 -C6 {Iris-versicolor} ]2.95;+inf[ 10 0.0952381 -C1 {Iris-setosa} ]-inf;2.95] 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R36 -Variables - Type Name - Categorical SPetalLength - Numerical SepalWidth - -Variables stats -SPetalLength -Group Frequency Coverage Size Value list -{4} 40 0.380952 3 4 * -{1} 38 0.361905 1 1 -{5} 27 0.257143 1 5 -SepalWidth -Interval Frequency Coverage -]-inf;2.95] 36 0.342857 -]2.95;3.25] 41 0.390476 -]3.25;+inf[ 28 0.266667 - -Cell frequencies - SepalWidth -SPetalLength ]-inf;2.95] ]2.95;3.25] ]3.25;+inf[ Total Coverage -{4} 26 10 4 40 0.380952 -{1} 1 15 22 38 0.361905 -{5} 9 16 2 27 0.257143 -Total 36 41 28 105 -Coverage 0.342857 0.390476 0.266667 - -Cells 9 -Cell Id SPetalLength SepalWidth Frequency Coverage -C1 {4} ]-inf;2.95] 26 0.247619 -C8 {1} ]3.25;+inf[ 22 0.209524 -C6 {5} ]2.95;3.25] 16 0.152381 -C5 {1} ]2.95;3.25] 15 0.142857 -C4 {4} ]2.95;3.25] 10 0.0952381 -C3 {5} ]-inf;2.95] 9 0.0857143 -C7 {4} ]3.25;+inf[ 4 0.0380952 -C9 {5} ]3.25;+inf[ 2 0.0190476 -C2 {1} ]-inf;2.95] 1 0.00952381 - Total 105 1 - ----------------------------------------------- -Rank R37 -Variables - Type Name - Numerical LowerPetalLength - Numerical UpperPetalWidth - -Variables stats -LowerPetalLength -Interval Frequency Coverage -]-inf;2.4] 38 0.361905 -]2.4;+inf[ 67 0.638095 -UpperPetalWidth -Interval Frequency Coverage -]-inf;1.55] 67 0.638095 -]1.55;+inf[ 38 0.361905 - -Cell frequencies - UpperPetalWidth -LowerPetalLength ]-inf;1.55] ]1.55;+inf[ Total Coverage -]-inf;2.4] 38 0 38 0.361905 -]2.4;+inf[ 29 38 67 0.638095 -Total 67 38 105 -Coverage 0.638095 0.361905 - -Cells 3 -Cell Id LowerPetalLength UpperPetalWidth Frequency Coverage -C1 ]-inf;2.4] ]-inf;1.55] 38 0.361905 -C4 ]2.4;+inf[ ]1.55;+inf[ 38 0.361905 -C2 ]2.4;+inf[ ]-inf;1.55] 29 0.27619 - Total 105 1 - ----------------------------------------------- -Rank R38 -Variables - Type Name - Numerical PetalWidth - Numerical SepalWidth - -Variables stats -PetalWidth -Interval Frequency Coverage -]-inf;0.75] 38 0.361905 -]0.75;1.45] 24 0.228571 -]1.45;+inf[ 43 0.409524 -SepalWidth -Interval Frequency Coverage -]-inf;2.95] 36 0.342857 -]2.95;+inf[ 69 0.657143 - -Cell frequencies - SepalWidth -PetalWidth ]-inf;2.95] ]2.95;+inf[ Total Coverage -]-inf;0.75] 1 37 38 0.361905 -]0.75;1.45] 21 3 24 0.228571 -]1.45;+inf[ 14 29 43 0.409524 -Total 36 69 105 -Coverage 0.342857 0.657143 - -Cells 6 -Cell Id PetalWidth SepalWidth Frequency Coverage -C4 ]-inf;0.75] ]2.95;+inf[ 37 0.352381 -C6 ]1.45;+inf[ ]2.95;+inf[ 29 0.27619 -C2 ]0.75;1.45] ]-inf;2.95] 21 0.2 -C3 ]1.45;+inf[ ]-inf;2.95] 14 0.133333 -C5 ]0.75;1.45] ]2.95;+inf[ 3 0.0285714 -C1 ]-inf;0.75] ]-inf;2.95] 1 0.00952381 - Total 105 1 +#Khiops 10.1.5 +Descriptive statistics + + +Problem description +Short description + +Dictionary Iris +Variables + Categorical 4 + Numerical 8 + Total 12 + +Database ../../../datasets/Iris/Iris.txt +Sample percentage 70 +Sampling mode Include sample +Selection variable +Selection value +Instances 105 + +Learning task Unsupervised analysis + +Evaluated variable pairs 55 +Informative variable pairs 38 + + +Variables pairs statistics + +Rank Name 1 Name 2 Level Variables Parts 1 Parts 2 Cells Constr. cost Prep. cost Data cost +R01 Class Class1 0.286471 2 2 2 2 6.71557 18.9311 110.25 +R02 Class Class2 0.270234 2 2 2 2 6.71557 19.0156 110.25 +R03 Class SPetalLength 0.258511 2 3 3 5 6.71557 41.7647 157.188 +R04 Class1 SPetalLength 0.231831 2 2 2 2 6.71557 27.2099 142.253 +R05 PetalLength SPetalLength 0.151582 2 5 5 5 6.71557 69.091 386.913 +R06 Class2 SPetalLength 0.142436 2 2 2 4 6.71557 27.7273 158.704 +R07 Class PetalWidth 0.14197 2 3 3 5 6.71557 31.1679 396.708 +R08 Class PetalLength 0.136908 2 3 3 5 6.71557 31.1679 399.272 +R09 Class1 LowerPetalLength 0.111506 2 2 2 2 6.71557 13.7255 386.913 +R10 Class1 PetalLength 0.111506 2 2 2 2 6.71557 13.7255 386.913 +R11 Class1 PetalWidth 0.111506 2 2 2 2 6.71557 13.7255 386.913 +R12 PetalWidth SPetalLength 0.109807 2 3 3 5 6.71557 40.5555 438.232 +R13 Class LowerPetalLength 0.0982915 2 2 2 2 6.71557 19.0436 430.955 +R14 LowerPetalLength SPetalLength 0.0887331 2 2 2 2 6.71557 27.3225 462.959 +R15 PetalLength PetalWidth 0.0785935 2 3 3 4 6.71557 29.9587 676.972 +R16 Class UpperPetalWidth 0.0721164 2 2 2 4 6.71557 19.0868 444.17 +R17 PetalWidth UpperPetalWidth 0.0703191 2 3 3 3 6.71557 29.9587 683.381 +R18 LowerPetalLength PetalLength 0.0701201 2 3 3 3 6.71557 29.9587 683.535 +R19 Class2 PetalWidth 0.0662843 2 2 3 5 6.71557 20.8147 396.708 +R20 SPetalLength SepalLength 0.0654694 2 3 4 5 6.71557 49.4973 453.472 +R21 Class2 PetalLength 0.0606416 2 2 3 5 6.71557 20.8147 399.272 +R22 LowerPetalLength PetalWidth 0.0598398 2 2 2 2 6.71557 13.838 707.618 +R23 Class SepalLength 0.059526 2 3 3 7 6.71557 31.1679 438.466 +R24 Class1 Class2 0.0559199 2 2 2 3 6.71557 13.6129 110.25 +R25 Class1 SepalLength 0.0531576 2 2 2 4 6.71557 13.7255 413.664 +R26 SPetalLength UpperPetalWidth 0.0466723 2 3 2 5 6.71557 31.8478 481.373 +R27 PetalLength SepalLength 0.0407398 2 4 4 8 6.71557 47.7303 688.519 +R28 PetalLength UpperPetalWidth 0.0401281 2 2 2 3 6.71557 13.838 722.885 +R29 PetalWidth SepalLength 0.0303985 2 3 3 8 6.71557 29.9587 714.3 +R30 LowerPetalLength SepalLength 0.0253003 2 2 2 4 6.71557 13.838 734.369 +R31 Class1 UpperPetalWidth 0.0166012 2 2 2 3 6.71557 13.7255 430.424 +R32 SepalLength UpperPetalWidth 0.0164148 2 2 2 4 6.71557 13.838 741.251 +R33 Class1 SepalWidth 0.00749643 2 2 3 5 6.71557 20.8147 427.509 +R34 Class2 LowerPetalLength 0.0065114 2 2 2 3 6.71557 13.7255 430.955 +R35 Class SepalWidth 0.00543684 2 3 2 6 6.71557 22.1365 474.893 +R36 LowerPetalLength UpperPetalWidth 0.00366071 2 2 2 3 6.71557 13.838 751.129 +R37 PetalWidth SepalWidth 0.00221737 2 3 2 6 6.71557 20.9273 745.158 +R38 SPetalLength SepalWidth 0.00143264 2 3 3 9 6.71557 40.2319 497.662 +R39 Class Dummy2 0 0 1 1 1 0.693147 8.64312 497.163 +R40 Class1 Dummy2 0 0 1 1 1 0.693147 4.66344 453.12 +R41 Class2 Dummy2 0 0 1 1 1 0.693147 4.66344 448.998 +R42 Class2 SepalLength 0 0 1 1 1 0.693147 4.66344 448.998 +R43 Class2 SepalWidth 0 0 1 1 1 0.693147 4.66344 448.998 +R44 Class2 UpperPetalWidth 0 0 1 1 1 0.693147 4.66344 448.998 +R45 Dummy2 LowerPetalLength 0 0 1 1 1 0.693147 0 773.825 +R46 Dummy2 PetalLength 0 0 1 1 1 0.693147 0 773.825 +R47 Dummy2 PetalWidth 0 0 1 1 1 0.693147 0 773.825 +R48 Dummy2 SPetalLength 0 0 1 1 1 0.693147 15.5317 529.166 +R49 Dummy2 SepalLength 0 0 1 1 1 0.693147 0 773.825 +R50 Dummy2 SepalWidth 0 0 1 1 1 0.693147 0 773.825 +R51 Dummy2 UpperPetalWidth 0 0 1 1 1 0.693147 0 773.825 +R52 LowerPetalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 +R53 PetalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 +R54 SepalLength SepalWidth 0 0 1 1 1 0.693147 0 773.825 +R55 SepalWidth UpperPetalWidth 0 0 1 1 1 0.693147 0 773.825 + + +-------------------------------------------------------------------------------- + +Variables pairs detailed statistics +(Pairs with two jointly informative variables) + + +Rank R01 +Variables + Type Name + Categorical Class + Categorical Class1 + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-virginica, Iris-versicolor} 67 0.638095 2 Iris-virginica Iris-versicolor * +{Iris-setosa} 38 0.361905 1 Iris-setosa +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * + +Cell frequencies + Class1 +Class {} {setosa} Total Coverage +{Iris-virginica, Iris-versicolor} 67 0 67 0.638095 +{Iris-setosa} 0 38 38 0.361905 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 2 +Cell Id Class Class1 Frequency Coverage +C1 {Iris-virginica, Iris-versicolor} {} 67 0.638095 +C4 {Iris-setosa} {setosa} 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R02 +Variables + Type Name + Categorical Class + Categorical Class2 + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa, Iris-virginica} 73 0.695238 2 Iris-setosa Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * +Class2 +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * + +Cell frequencies + Class2 +Class {} {versicolor} Total Coverage +{Iris-setosa, Iris-virginica} 73 0 73 0.695238 +{Iris-versicolor} 0 32 32 0.304762 +Total 73 32 105 +Coverage 0.695238 0.304762 + +Cells 2 +Cell Id Class Class2 Frequency Coverage +C1 {Iris-setosa, Iris-virginica} {} 73 0.695238 +C4 {Iris-versicolor} {versicolor} 32 0.304762 + Total 105 1 + +---------------------------------------------- +Rank R03 +Variables + Type Name + Categorical Class + Categorical SPetalLength + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa} 38 0.361905 1 Iris-setosa +{Iris-virginica} 35 0.333333 1 Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * +SPetalLength +Group Frequency Coverage Size Value list +{1} 38 0.361905 1 1 +{5, 6} 34 0.32381 2 5 6 * +{4, 3} 33 0.314286 2 4 3 + +Cell frequencies + SPetalLength +Class {1} {5, 6} {4, 3} Total Coverage +{Iris-setosa} 38 0 0 38 0.361905 +{Iris-virginica} 0 32 3 35 0.333333 +{Iris-versicolor} 0 2 30 32 0.304762 +Total 38 34 33 105 +Coverage 0.361905 0.32381 0.314286 + +Cells 5 +Cell Id Class SPetalLength Frequency Coverage +C1 {Iris-setosa} {1} 38 0.361905 +C5 {Iris-virginica} {5, 6} 32 0.304762 +C9 {Iris-versicolor} {4, 3} 30 0.285714 +C8 {Iris-virginica} {4, 3} 3 0.0285714 +C6 {Iris-versicolor} {5, 6} 2 0.0190476 + Total 105 1 + +---------------------------------------------- +Rank R04 +Variables + Type Name + Categorical Class1 + Categorical SPetalLength + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +SPetalLength +Group Frequency Coverage Size Value list +{5, 4, 3, ...} 67 0.638095 4 5 4 3 6 * +{1} 38 0.361905 1 1 + +Cell frequencies + SPetalLength +Class1 {5, 4, 3, ...} {1} Total Coverage +{} 67 0 67 0.638095 +{setosa} 0 38 38 0.361905 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 2 +Cell Id Class1 SPetalLength Frequency Coverage +C1 {} {5, 4, 3, ...} 67 0.638095 +C4 {setosa} {1} 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R05 +Variables + Type Name + Numerical PetalLength + Categorical SPetalLength + +Variables stats +PetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;3.95] 8 0.0761905 +]3.95;4.95] 25 0.238095 +]4.95;5.95] 27 0.257143 +]5.95;+inf[ 7 0.0666667 +SPetalLength +Group Frequency Coverage Size Value list +{1} 38 0.361905 1 1 +{5} 27 0.257143 1 5 +{4} 25 0.238095 1 4 +{3} 8 0.0761905 1 3 +{6} 7 0.0666667 1 6 * + +Cell frequencies + SPetalLength +PetalLength {1} {5} {4} {3} {6} Total Coverage +]-inf;2.4] 38 0 0 0 0 38 0.361905 +]2.4;3.95] 0 0 0 8 0 8 0.0761905 +]3.95;4.95] 0 0 25 0 0 25 0.238095 +]4.95;5.95] 0 27 0 0 0 27 0.257143 +]5.95;+inf[ 0 0 0 0 7 7 0.0666667 +Total 38 27 25 8 7 105 +Coverage 0.361905 0.257143 0.238095 0.0761905 0.0666667 + +Cells 5 +Cell Id PetalLength SPetalLength Frequency Coverage +C1 ]-inf;2.4] {1} 38 0.361905 +C9 ]4.95;5.95] {5} 27 0.257143 +C13 ]3.95;4.95] {4} 25 0.238095 +C17 ]2.4;3.95] {3} 8 0.0761905 +C25 ]5.95;+inf[ {6} 7 0.0666667 + Total 105 1 + +---------------------------------------------- +Rank R06 +Variables + Type Name + Categorical Class2 + Categorical SPetalLength + +Variables stats +Class2 +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * +SPetalLength +Group Frequency Coverage Size Value list +{1, 5, 6} 72 0.685714 3 1 5 6 * +{4, 3} 33 0.314286 2 4 3 + +Cell frequencies + SPetalLength +Class2 {1, 5, 6} {4, 3} Total Coverage +{} 70 3 73 0.695238 +{versicolor} 2 30 32 0.304762 +Total 72 33 105 +Coverage 0.685714 0.314286 + +Cells 4 +Cell Id Class2 SPetalLength Frequency Coverage +C1 {} {1, 5, 6} 70 0.666667 +C4 {versicolor} {4, 3} 30 0.285714 +C3 {} {4, 3} 3 0.0285714 +C2 {versicolor} {1, 5, 6} 2 0.0190476 + Total 105 1 + +---------------------------------------------- +Rank R07 +Variables + Type Name + Categorical Class + Numerical PetalWidth + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa} 38 0.361905 1 Iris-setosa +{Iris-virginica} 35 0.333333 1 Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;1.75] 33 0.314286 +]1.75;+inf[ 34 0.32381 + +Cell frequencies + PetalWidth +Class ]-inf;0.75] ]0.75;1.75] ]1.75;+inf[ Total Coverage +{Iris-setosa} 38 0 0 38 0.361905 +{Iris-virginica} 0 2 33 35 0.333333 +{Iris-versicolor} 0 31 1 32 0.304762 +Total 38 33 34 105 +Coverage 0.361905 0.314286 0.32381 + +Cells 5 +Cell Id Class PetalWidth Frequency Coverage +C1 {Iris-setosa} ]-inf;0.75] 38 0.361905 +C8 {Iris-virginica} ]1.75;+inf[ 33 0.314286 +C6 {Iris-versicolor} ]0.75;1.75] 31 0.295238 +C5 {Iris-virginica} ]0.75;1.75] 2 0.0190476 +C9 {Iris-versicolor} ]1.75;+inf[ 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R08 +Variables + Type Name + Categorical Class + Numerical PetalLength + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa} 38 0.361905 1 Iris-setosa +{Iris-virginica} 35 0.333333 1 Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * +PetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;4.85] 30 0.285714 +]4.85;+inf[ 37 0.352381 + +Cell frequencies + PetalLength +Class ]-inf;2.4] ]2.4;4.85] ]4.85;+inf[ Total Coverage +{Iris-setosa} 38 0 0 38 0.361905 +{Iris-virginica} 0 1 34 35 0.333333 +{Iris-versicolor} 0 29 3 32 0.304762 +Total 38 30 37 105 +Coverage 0.361905 0.285714 0.352381 + +Cells 5 +Cell Id Class PetalLength Frequency Coverage +C1 {Iris-setosa} ]-inf;2.4] 38 0.361905 +C8 {Iris-virginica} ]4.85;+inf[ 34 0.32381 +C6 {Iris-versicolor} ]2.4;4.85] 29 0.27619 +C9 {Iris-versicolor} ]4.85;+inf[ 3 0.0285714 +C5 {Iris-virginica} ]2.4;4.85] 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R09 +Variables + Type Name + Categorical Class1 + Numerical LowerPetalLength + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 + +Cell frequencies + LowerPetalLength +Class1 ]-inf;2.4] ]2.4;+inf[ Total Coverage +{} 0 67 67 0.638095 +{setosa} 38 0 38 0.361905 +Total 38 67 105 +Coverage 0.361905 0.638095 + +Cells 2 +Cell Id Class1 LowerPetalLength Frequency Coverage +C3 {} ]2.4;+inf[ 67 0.638095 +C2 {setosa} ]-inf;2.4] 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R10 +Variables + Type Name + Categorical Class1 + Numerical PetalLength + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +PetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 + +Cell frequencies + PetalLength +Class1 ]-inf;2.4] ]2.4;+inf[ Total Coverage +{} 0 67 67 0.638095 +{setosa} 38 0 38 0.361905 +Total 38 67 105 +Coverage 0.361905 0.638095 + +Cells 2 +Cell Id Class1 PetalLength Frequency Coverage +C3 {} ]2.4;+inf[ 67 0.638095 +C2 {setosa} ]-inf;2.4] 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R11 +Variables + Type Name + Categorical Class1 + Numerical PetalWidth + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;+inf[ 67 0.638095 + +Cell frequencies + PetalWidth +Class1 ]-inf;0.75] ]0.75;+inf[ Total Coverage +{} 0 67 67 0.638095 +{setosa} 38 0 38 0.361905 +Total 38 67 105 +Coverage 0.361905 0.638095 + +Cells 2 +Cell Id Class1 PetalWidth Frequency Coverage +C3 {} ]0.75;+inf[ 67 0.638095 +C2 {setosa} ]-inf;0.75] 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R12 +Variables + Type Name + Numerical PetalWidth + Categorical SPetalLength + +Variables stats +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;1.65] 32 0.304762 +]1.65;+inf[ 35 0.333333 +SPetalLength +Group Frequency Coverage Size Value list +{1} 38 0.361905 1 1 +{5, 6} 34 0.32381 2 5 6 * +{4, 3} 33 0.314286 2 4 3 + +Cell frequencies + SPetalLength +PetalWidth {1} {5, 6} {4, 3} Total Coverage +]-inf;0.75] 38 0 0 38 0.361905 +]0.75;1.65] 0 3 29 32 0.304762 +]1.65;+inf[ 0 31 4 35 0.333333 +Total 38 34 33 105 +Coverage 0.361905 0.32381 0.314286 + +Cells 5 +Cell Id PetalWidth SPetalLength Frequency Coverage +C1 ]-inf;0.75] {1} 38 0.361905 +C6 ]1.65;+inf[ {5, 6} 31 0.295238 +C8 ]0.75;1.65] {4, 3} 29 0.27619 +C9 ]1.65;+inf[ {4, 3} 4 0.0380952 +C5 ]0.75;1.65] {5, 6} 3 0.0285714 + Total 105 1 + +---------------------------------------------- +Rank R13 +Variables + Type Name + Categorical Class + Numerical LowerPetalLength + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-virginica, Iris-versicolor} 67 0.638095 2 Iris-virginica Iris-versicolor * +{Iris-setosa} 38 0.361905 1 Iris-setosa +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 + +Cell frequencies + LowerPetalLength +Class ]-inf;2.4] ]2.4;+inf[ Total Coverage +{Iris-virginica, Iris-versicolor} 0 67 67 0.638095 +{Iris-setosa} 38 0 38 0.361905 +Total 38 67 105 +Coverage 0.361905 0.638095 + +Cells 2 +Cell Id Class LowerPetalLength Frequency Coverage +C3 {Iris-virginica, Iris-versicolor} ]2.4;+inf[ 67 0.638095 +C2 {Iris-setosa} ]-inf;2.4] 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R14 +Variables + Type Name + Numerical LowerPetalLength + Categorical SPetalLength + +Variables stats +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 +SPetalLength +Group Frequency Coverage Size Value list +{5, 4, 3, ...} 67 0.638095 4 5 4 3 6 * +{1} 38 0.361905 1 1 + +Cell frequencies + SPetalLength +LowerPetalLength {5, 4, 3, ...} {1} Total Coverage +]-inf;2.4] 0 38 38 0.361905 +]2.4;+inf[ 67 0 67 0.638095 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 2 +Cell Id LowerPetalLength SPetalLength Frequency Coverage +C2 ]2.4;+inf[ {5, 4, 3, ...} 67 0.638095 +C3 ]-inf;2.4] {1} 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R15 +Variables + Type Name + Numerical PetalLength + Numerical PetalWidth + +Variables stats +PetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;4.75] 27 0.257143 +]4.75;+inf[ 40 0.380952 +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;1.65] 32 0.304762 +]1.65;+inf[ 35 0.333333 + +Cell frequencies + PetalWidth +PetalLength ]-inf;0.75] ]0.75;1.65] ]1.65;+inf[ Total Coverage +]-inf;2.4] 38 0 0 38 0.361905 +]2.4;4.75] 0 27 0 27 0.257143 +]4.75;+inf[ 0 5 35 40 0.380952 +Total 38 32 35 105 +Coverage 0.361905 0.304762 0.333333 + +Cells 4 +Cell Id PetalLength PetalWidth Frequency Coverage +C1 ]-inf;2.4] ]-inf;0.75] 38 0.361905 +C9 ]4.75;+inf[ ]1.65;+inf[ 35 0.333333 +C5 ]2.4;4.75] ]0.75;1.65] 27 0.257143 +C6 ]4.75;+inf[ ]0.75;1.65] 5 0.047619 + Total 105 1 + +---------------------------------------------- +Rank R16 +Variables + Type Name + Categorical Class + Numerical UpperPetalWidth + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa, Iris-versicolor} 70 0.666667 2 Iris-setosa Iris-versicolor * +{Iris-virginica} 35 0.333333 1 Iris-virginica +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.75] 71 0.67619 +]1.75;+inf[ 34 0.32381 + +Cell frequencies + UpperPetalWidth +Class ]-inf;1.75] ]1.75;+inf[ Total Coverage +{Iris-setosa, Iris-versicolor} 69 1 70 0.666667 +{Iris-virginica} 2 33 35 0.333333 +Total 71 34 105 +Coverage 0.67619 0.32381 + +Cells 4 +Cell Id Class UpperPetalWidth Frequency Coverage +C1 {Iris-setosa, Iris-versicolor} ]-inf;1.75] 69 0.657143 +C4 {Iris-virginica} ]1.75;+inf[ 33 0.314286 +C2 {Iris-virginica} ]-inf;1.75] 2 0.0190476 +C3 {Iris-setosa, Iris-versicolor} ]1.75;+inf[ 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R17 +Variables + Type Name + Numerical PetalWidth + Numerical UpperPetalWidth + +Variables stats +PetalWidth +Interval Frequency Coverage +]-inf;1.55] 67 0.638095 +]1.55;2.05] 20 0.190476 +]2.05;+inf[ 18 0.171429 +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.55] 67 0.638095 +]1.55;2.05] 20 0.190476 +]2.05;+inf[ 18 0.171429 + +Cell frequencies + UpperPetalWidth +PetalWidth ]-inf;1.55] ]1.55;2.05] ]2.05;+inf[ Total Coverage +]-inf;1.55] 67 0 0 67 0.638095 +]1.55;2.05] 0 20 0 20 0.190476 +]2.05;+inf[ 0 0 18 18 0.171429 +Total 67 20 18 105 +Coverage 0.638095 0.190476 0.171429 + +Cells 3 +Cell Id PetalWidth UpperPetalWidth Frequency Coverage +C1 ]-inf;1.55] ]-inf;1.55] 67 0.638095 +C5 ]1.55;2.05] ]1.55;2.05] 20 0.190476 +C9 ]2.05;+inf[ ]2.05;+inf[ 18 0.171429 + Total 105 1 + +---------------------------------------------- +Rank R18 +Variables + Type Name + Numerical LowerPetalLength + Numerical PetalLength + +Variables stats +LowerPetalLength +Interval Frequency Coverage +]-inf;1.45] 17 0.161905 +]1.45;2.4] 21 0.2 +]2.4;+inf[ 67 0.638095 +PetalLength +Interval Frequency Coverage +]-inf;1.45] 17 0.161905 +]1.45;2.4] 21 0.2 +]2.4;+inf[ 67 0.638095 + +Cell frequencies + PetalLength +LowerPetalLength ]-inf;1.45] ]1.45;2.4] ]2.4;+inf[ Total Coverage +]-inf;1.45] 17 0 0 17 0.161905 +]1.45;2.4] 0 21 0 21 0.2 +]2.4;+inf[ 0 0 67 67 0.638095 +Total 17 21 67 105 +Coverage 0.161905 0.2 0.638095 + +Cells 3 +Cell Id LowerPetalLength PetalLength Frequency Coverage +C9 ]2.4;+inf[ ]2.4;+inf[ 67 0.638095 +C5 ]1.45;2.4] ]1.45;2.4] 21 0.2 +C1 ]-inf;1.45] ]-inf;1.45] 17 0.161905 + Total 105 1 + +---------------------------------------------- +Rank R19 +Variables + Type Name + Categorical Class2 + Numerical PetalWidth + +Variables stats +Class2 +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;1.75] 33 0.314286 +]1.75;+inf[ 34 0.32381 + +Cell frequencies + PetalWidth +Class2 ]-inf;0.75] ]0.75;1.75] ]1.75;+inf[ Total Coverage +{} 38 2 33 73 0.695238 +{versicolor} 0 31 1 32 0.304762 +Total 38 33 34 105 +Coverage 0.361905 0.314286 0.32381 + +Cells 5 +Cell Id Class2 PetalWidth Frequency Coverage +C1 {} ]-inf;0.75] 38 0.361905 +C5 {} ]1.75;+inf[ 33 0.314286 +C4 {versicolor} ]0.75;1.75] 31 0.295238 +C3 {} ]0.75;1.75] 2 0.0190476 +C6 {versicolor} ]1.75;+inf[ 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R20 +Variables + Type Name + Categorical SPetalLength + Numerical SepalLength + +Variables stats +SPetalLength +Group Frequency Coverage Size Value list +{5, 4} 52 0.495238 2 5 4 +{1, 3} 46 0.438095 2 1 3 +{6} 7 0.0666667 1 6 * +SepalLength +Interval Frequency Coverage +]-inf;5.35] 34 0.32381 +]5.35;5.85] 22 0.209524 +]5.85;7.15] 42 0.4 +]7.15;+inf[ 7 0.0666667 + +Cell frequencies + SepalLength +SPetalLength ]-inf;5.35] ]5.35;5.85] ]5.85;7.15] ]7.15;+inf[ Total Coverage +{5, 4} 0 10 42 0 52 0.495238 +{1, 3} 34 12 0 0 46 0.438095 +{6} 0 0 0 7 7 0.0666667 +Total 34 22 42 7 105 +Coverage 0.32381 0.209524 0.4 0.0666667 + +Cells 5 +Cell Id SPetalLength SepalLength Frequency Coverage +C7 {5, 4} ]5.85;7.15] 42 0.4 +C2 {1, 3} ]-inf;5.35] 34 0.32381 +C5 {1, 3} ]5.35;5.85] 12 0.114286 +C4 {5, 4} ]5.35;5.85] 10 0.0952381 +C12 {6} ]7.15;+inf[ 7 0.0666667 + Total 105 1 + +---------------------------------------------- +Rank R21 +Variables + Type Name + Categorical Class2 + Numerical PetalLength + +Variables stats +Class2 +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * +PetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;4.85] 30 0.285714 +]4.85;+inf[ 37 0.352381 + +Cell frequencies + PetalLength +Class2 ]-inf;2.4] ]2.4;4.85] ]4.85;+inf[ Total Coverage +{} 38 1 34 73 0.695238 +{versicolor} 0 29 3 32 0.304762 +Total 38 30 37 105 +Coverage 0.361905 0.285714 0.352381 + +Cells 5 +Cell Id Class2 PetalLength Frequency Coverage +C1 {} ]-inf;2.4] 38 0.361905 +C5 {} ]4.85;+inf[ 34 0.32381 +C4 {versicolor} ]2.4;4.85] 29 0.27619 +C6 {versicolor} ]4.85;+inf[ 3 0.0285714 +C3 {} ]2.4;4.85] 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R22 +Variables + Type Name + Numerical LowerPetalLength + Numerical PetalWidth + +Variables stats +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;+inf[ 67 0.638095 + +Cell frequencies + PetalWidth +LowerPetalLength ]-inf;0.75] ]0.75;+inf[ Total Coverage +]-inf;2.4] 38 0 38 0.361905 +]2.4;+inf[ 0 67 67 0.638095 +Total 38 67 105 +Coverage 0.361905 0.638095 + +Cells 2 +Cell Id LowerPetalLength PetalWidth Frequency Coverage +C4 ]2.4;+inf[ ]0.75;+inf[ 67 0.638095 +C1 ]-inf;2.4] ]-inf;0.75] 38 0.361905 + Total 105 1 + +---------------------------------------------- +Rank R23 +Variables + Type Name + Categorical Class + Numerical SepalLength + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa} 38 0.361905 1 Iris-setosa +{Iris-virginica} 35 0.333333 1 Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * +SepalLength +Interval Frequency Coverage +]-inf;5.45] 39 0.371429 +]5.45;6.15] 28 0.266667 +]6.15;+inf[ 38 0.361905 + +Cell frequencies + SepalLength +Class ]-inf;5.45] ]5.45;6.15] ]6.15;+inf[ Total Coverage +{Iris-setosa} 34 4 0 38 0.361905 +{Iris-virginica} 0 5 30 35 0.333333 +{Iris-versicolor} 5 19 8 32 0.304762 +Total 39 28 38 105 +Coverage 0.371429 0.266667 0.361905 + +Cells 7 +Cell Id Class SepalLength Frequency Coverage +C1 {Iris-setosa} ]-inf;5.45] 34 0.32381 +C8 {Iris-virginica} ]6.15;+inf[ 30 0.285714 +C6 {Iris-versicolor} ]5.45;6.15] 19 0.180952 +C9 {Iris-versicolor} ]6.15;+inf[ 8 0.0761905 +C5 {Iris-virginica} ]5.45;6.15] 5 0.047619 +C3 {Iris-versicolor} ]-inf;5.45] 5 0.047619 +C4 {Iris-setosa} ]5.45;6.15] 4 0.0380952 + Total 105 1 + +---------------------------------------------- +Rank R24 +Variables + Type Name + Categorical Class1 + Categorical Class2 + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +Class2 +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * + +Cell frequencies + Class2 +Class1 {} {versicolor} Total Coverage +{} 35 32 67 0.638095 +{setosa} 38 0 38 0.361905 +Total 73 32 105 +Coverage 0.695238 0.304762 + +Cells 3 +Cell Id Class1 Class2 Frequency Coverage +C2 {setosa} {} 38 0.361905 +C1 {} {} 35 0.333333 +C3 {} {versicolor} 32 0.304762 + Total 105 1 + +---------------------------------------------- +Rank R25 +Variables + Type Name + Categorical Class1 + Numerical SepalLength + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +SepalLength +Interval Frequency Coverage +]-inf;5.45] 39 0.371429 +]5.45;+inf[ 66 0.628571 + +Cell frequencies + SepalLength +Class1 ]-inf;5.45] ]5.45;+inf[ Total Coverage +{} 5 62 67 0.638095 +{setosa} 34 4 38 0.361905 +Total 39 66 105 +Coverage 0.371429 0.628571 + +Cells 4 +Cell Id Class1 SepalLength Frequency Coverage +C3 {} ]5.45;+inf[ 62 0.590476 +C2 {setosa} ]-inf;5.45] 34 0.32381 +C1 {} ]-inf;5.45] 5 0.047619 +C4 {setosa} ]5.45;+inf[ 4 0.0380952 + Total 105 1 + +---------------------------------------------- +Rank R26 +Variables + Type Name + Categorical SPetalLength + Numerical UpperPetalWidth + +Variables stats +SPetalLength +Group Frequency Coverage Size Value list +{1, 3} 46 0.438095 2 1 3 +{5, 6} 34 0.32381 2 5 6 * +{4} 25 0.238095 1 4 +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.55] 67 0.638095 +]1.55;+inf[ 38 0.361905 + +Cell frequencies + UpperPetalWidth +SPetalLength ]-inf;1.55] ]1.55;+inf[ Total Coverage +{1, 3} 46 0 46 0.438095 +{5, 6} 2 32 34 0.32381 +{4} 19 6 25 0.238095 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 5 +Cell Id SPetalLength UpperPetalWidth Frequency Coverage +C1 {1, 3} ]-inf;1.55] 46 0.438095 +C5 {5, 6} ]1.55;+inf[ 32 0.304762 +C3 {4} ]-inf;1.55] 19 0.180952 +C6 {4} ]1.55;+inf[ 6 0.0571429 +C2 {5, 6} ]-inf;1.55] 2 0.0190476 + Total 105 1 + +---------------------------------------------- +Rank R27 +Variables + Type Name + Numerical PetalLength + Numerical SepalLength + +Variables stats +PetalLength +Interval Frequency Coverage +]-inf;3.55] 42 0.4 +]3.55;4.6] 19 0.180952 +]4.6;5.95] 37 0.352381 +]5.95;+inf[ 7 0.0666667 +SepalLength +Interval Frequency Coverage +]-inf;5.45] 39 0.371429 +]5.45;5.85] 17 0.161905 +]5.85;7.15] 42 0.4 +]7.15;+inf[ 7 0.0666667 + +Cell frequencies + SepalLength +PetalLength ]-inf;5.45] ]5.45;5.85] ]5.85;7.15] ]7.15;+inf[ Total Coverage +]-inf;3.55] 37 5 0 0 42 0.4 +]3.55;4.6] 2 10 7 0 19 0.180952 +]4.6;5.95] 0 2 35 0 37 0.352381 +]5.95;+inf[ 0 0 0 7 7 0.0666667 +Total 39 17 42 7 105 +Coverage 0.371429 0.161905 0.4 0.0666667 + +Cells 8 +Cell Id PetalLength SepalLength Frequency Coverage +C1 ]-inf;3.55] ]-inf;5.45] 37 0.352381 +C11 ]4.6;5.95] ]5.85;7.15] 35 0.333333 +C6 ]3.55;4.6] ]5.45;5.85] 10 0.0952381 +C10 ]3.55;4.6] ]5.85;7.15] 7 0.0666667 +C16 ]5.95;+inf[ ]7.15;+inf[ 7 0.0666667 +C5 ]-inf;3.55] ]5.45;5.85] 5 0.047619 +C2 ]3.55;4.6] ]-inf;5.45] 2 0.0190476 +C7 ]4.6;5.95] ]5.45;5.85] 2 0.0190476 + Total 105 1 + +---------------------------------------------- +Rank R28 +Variables + Type Name + Numerical PetalLength + Numerical UpperPetalWidth + +Variables stats +PetalLength +Interval Frequency Coverage +]-inf;4.75] 65 0.619048 +]4.75;+inf[ 40 0.380952 +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.65] 70 0.666667 +]1.65;+inf[ 35 0.333333 + +Cell frequencies + UpperPetalWidth +PetalLength ]-inf;1.65] ]1.65;+inf[ Total Coverage +]-inf;4.75] 65 0 65 0.619048 +]4.75;+inf[ 5 35 40 0.380952 +Total 70 35 105 +Coverage 0.666667 0.333333 + +Cells 3 +Cell Id PetalLength UpperPetalWidth Frequency Coverage +C1 ]-inf;4.75] ]-inf;1.65] 65 0.619048 +C4 ]4.75;+inf[ ]1.65;+inf[ 35 0.333333 +C2 ]4.75;+inf[ ]-inf;1.65] 5 0.047619 + Total 105 1 + +---------------------------------------------- +Rank R29 +Variables + Type Name + Numerical PetalWidth + Numerical SepalLength + +Variables stats +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;1.35] 18 0.171429 +]1.35;+inf[ 49 0.466667 +SepalLength +Interval Frequency Coverage +]-inf;5.45] 39 0.371429 +]5.45;5.85] 17 0.161905 +]5.85;+inf[ 49 0.466667 + +Cell frequencies + SepalLength +PetalWidth ]-inf;5.45] ]5.45;5.85] ]5.85;+inf[ Total Coverage +]-inf;0.75] 34 4 0 38 0.361905 +]0.75;1.35] 3 10 5 18 0.171429 +]1.35;+inf[ 2 3 44 49 0.466667 +Total 39 17 49 105 +Coverage 0.371429 0.161905 0.466667 + +Cells 8 +Cell Id PetalWidth SepalLength Frequency Coverage +C9 ]1.35;+inf[ ]5.85;+inf[ 44 0.419048 +C1 ]-inf;0.75] ]-inf;5.45] 34 0.32381 +C5 ]0.75;1.35] ]5.45;5.85] 10 0.0952381 +C8 ]0.75;1.35] ]5.85;+inf[ 5 0.047619 +C4 ]-inf;0.75] ]5.45;5.85] 4 0.0380952 +C2 ]0.75;1.35] ]-inf;5.45] 3 0.0285714 +C6 ]1.35;+inf[ ]5.45;5.85] 3 0.0285714 +C3 ]1.35;+inf[ ]-inf;5.45] 2 0.0190476 + Total 105 1 + +---------------------------------------------- +Rank R30 +Variables + Type Name + Numerical LowerPetalLength + Numerical SepalLength + +Variables stats +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 +SepalLength +Interval Frequency Coverage +]-inf;5.45] 39 0.371429 +]5.45;+inf[ 66 0.628571 + +Cell frequencies + SepalLength +LowerPetalLength ]-inf;5.45] ]5.45;+inf[ Total Coverage +]-inf;2.4] 34 4 38 0.361905 +]2.4;+inf[ 5 62 67 0.638095 +Total 39 66 105 +Coverage 0.371429 0.628571 + +Cells 4 +Cell Id LowerPetalLength SepalLength Frequency Coverage +C4 ]2.4;+inf[ ]5.45;+inf[ 62 0.590476 +C1 ]-inf;2.4] ]-inf;5.45] 34 0.32381 +C2 ]2.4;+inf[ ]-inf;5.45] 5 0.047619 +C3 ]-inf;2.4] ]5.45;+inf[ 4 0.0380952 + Total 105 1 + +---------------------------------------------- +Rank R31 +Variables + Type Name + Categorical Class1 + Numerical UpperPetalWidth + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.55] 67 0.638095 +]1.55;+inf[ 38 0.361905 + +Cell frequencies + UpperPetalWidth +Class1 ]-inf;1.55] ]1.55;+inf[ Total Coverage +{} 29 38 67 0.638095 +{setosa} 38 0 38 0.361905 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 3 +Cell Id Class1 UpperPetalWidth Frequency Coverage +C3 {} ]1.55;+inf[ 38 0.361905 +C2 {setosa} ]-inf;1.55] 38 0.361905 +C1 {} ]-inf;1.55] 29 0.27619 + Total 105 1 + +---------------------------------------------- +Rank R32 +Variables + Type Name + Numerical SepalLength + Numerical UpperPetalWidth + +Variables stats +SepalLength +Interval Frequency Coverage +]-inf;5.85] 56 0.533333 +]5.85;+inf[ 49 0.466667 +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.55] 67 0.638095 +]1.55;+inf[ 38 0.361905 + +Cell frequencies + UpperPetalWidth +SepalLength ]-inf;1.55] ]1.55;+inf[ Total Coverage +]-inf;5.85] 54 2 56 0.533333 +]5.85;+inf[ 13 36 49 0.466667 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 4 +Cell Id SepalLength UpperPetalWidth Frequency Coverage +C1 ]-inf;5.85] ]-inf;1.55] 54 0.514286 +C4 ]5.85;+inf[ ]1.55;+inf[ 36 0.342857 +C2 ]5.85;+inf[ ]-inf;1.55] 13 0.12381 +C3 ]-inf;5.85] ]1.55;+inf[ 2 0.0190476 + Total 105 1 + +---------------------------------------------- +Rank R33 +Variables + Type Name + Categorical Class1 + Numerical SepalWidth + +Variables stats +Class1 +Group Frequency Coverage Size Value list +{} 67 0.638095 1 +{setosa} 38 0.361905 1 setosa * +SepalWidth +Interval Frequency Coverage +]-inf;2.85] 30 0.285714 +]2.85;3.35] 49 0.466667 +]3.35;+inf[ 26 0.247619 + +Cell frequencies + SepalWidth +Class1 ]-inf;2.85] ]2.85;3.35] ]3.35;+inf[ Total Coverage +{} 30 32 5 67 0.638095 +{setosa} 0 17 21 38 0.361905 +Total 30 49 26 105 +Coverage 0.285714 0.466667 0.247619 + +Cells 5 +Cell Id Class1 SepalWidth Frequency Coverage +C3 {} ]2.85;3.35] 32 0.304762 +C1 {} ]-inf;2.85] 30 0.285714 +C6 {setosa} ]3.35;+inf[ 21 0.2 +C4 {setosa} ]2.85;3.35] 17 0.161905 +C5 {} ]3.35;+inf[ 5 0.047619 + Total 105 1 + +---------------------------------------------- +Rank R34 +Variables + Type Name + Categorical Class2 + Numerical LowerPetalLength + +Variables stats +Class2 +Group Frequency Coverage Size Value list +{} 73 0.695238 1 +{versicolor} 32 0.304762 1 versicolor * +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 + +Cell frequencies + LowerPetalLength +Class2 ]-inf;2.4] ]2.4;+inf[ Total Coverage +{} 38 35 73 0.695238 +{versicolor} 0 32 32 0.304762 +Total 38 67 105 +Coverage 0.361905 0.638095 + +Cells 3 +Cell Id Class2 LowerPetalLength Frequency Coverage +C1 {} ]-inf;2.4] 38 0.361905 +C3 {} ]2.4;+inf[ 35 0.333333 +C4 {versicolor} ]2.4;+inf[ 32 0.304762 + Total 105 1 + +---------------------------------------------- +Rank R35 +Variables + Type Name + Categorical Class + Numerical SepalWidth + +Variables stats +Class +Group Frequency Coverage Size Value list +{Iris-setosa} 38 0.361905 1 Iris-setosa +{Iris-virginica} 35 0.333333 1 Iris-virginica +{Iris-versicolor} 32 0.304762 1 Iris-versicolor * +SepalWidth +Interval Frequency Coverage +]-inf;2.95] 36 0.342857 +]2.95;+inf[ 69 0.657143 + +Cell frequencies + SepalWidth +Class ]-inf;2.95] ]2.95;+inf[ Total Coverage +{Iris-setosa} 1 37 38 0.361905 +{Iris-virginica} 13 22 35 0.333333 +{Iris-versicolor} 22 10 32 0.304762 +Total 36 69 105 +Coverage 0.342857 0.657143 + +Cells 6 +Cell Id Class SepalWidth Frequency Coverage +C4 {Iris-setosa} ]2.95;+inf[ 37 0.352381 +C5 {Iris-virginica} ]2.95;+inf[ 22 0.209524 +C3 {Iris-versicolor} ]-inf;2.95] 22 0.209524 +C2 {Iris-virginica} ]-inf;2.95] 13 0.12381 +C6 {Iris-versicolor} ]2.95;+inf[ 10 0.0952381 +C1 {Iris-setosa} ]-inf;2.95] 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R36 +Variables + Type Name + Numerical LowerPetalLength + Numerical UpperPetalWidth + +Variables stats +LowerPetalLength +Interval Frequency Coverage +]-inf;2.4] 38 0.361905 +]2.4;+inf[ 67 0.638095 +UpperPetalWidth +Interval Frequency Coverage +]-inf;1.55] 67 0.638095 +]1.55;+inf[ 38 0.361905 + +Cell frequencies + UpperPetalWidth +LowerPetalLength ]-inf;1.55] ]1.55;+inf[ Total Coverage +]-inf;2.4] 38 0 38 0.361905 +]2.4;+inf[ 29 38 67 0.638095 +Total 67 38 105 +Coverage 0.638095 0.361905 + +Cells 3 +Cell Id LowerPetalLength UpperPetalWidth Frequency Coverage +C1 ]-inf;2.4] ]-inf;1.55] 38 0.361905 +C4 ]2.4;+inf[ ]1.55;+inf[ 38 0.361905 +C2 ]2.4;+inf[ ]-inf;1.55] 29 0.27619 + Total 105 1 + +---------------------------------------------- +Rank R37 +Variables + Type Name + Numerical PetalWidth + Numerical SepalWidth + +Variables stats +PetalWidth +Interval Frequency Coverage +]-inf;0.75] 38 0.361905 +]0.75;1.45] 24 0.228571 +]1.45;+inf[ 43 0.409524 +SepalWidth +Interval Frequency Coverage +]-inf;2.95] 36 0.342857 +]2.95;+inf[ 69 0.657143 + +Cell frequencies + SepalWidth +PetalWidth ]-inf;2.95] ]2.95;+inf[ Total Coverage +]-inf;0.75] 1 37 38 0.361905 +]0.75;1.45] 21 3 24 0.228571 +]1.45;+inf[ 14 29 43 0.409524 +Total 36 69 105 +Coverage 0.342857 0.657143 + +Cells 6 +Cell Id PetalWidth SepalWidth Frequency Coverage +C4 ]-inf;0.75] ]2.95;+inf[ 37 0.352381 +C6 ]1.45;+inf[ ]2.95;+inf[ 29 0.27619 +C2 ]0.75;1.45] ]-inf;2.95] 21 0.2 +C3 ]1.45;+inf[ ]-inf;2.95] 14 0.133333 +C5 ]0.75;1.45] ]2.95;+inf[ 3 0.0285714 +C1 ]-inf;0.75] ]-inf;2.95] 1 0.00952381 + Total 105 1 + +---------------------------------------------- +Rank R38 +Variables + Type Name + Categorical SPetalLength + Numerical SepalWidth + +Variables stats +SPetalLength +Group Frequency Coverage Size Value list +{4, 3, 6} 40 0.380952 3 4 3 6 * +{1} 38 0.361905 1 1 +{5} 27 0.257143 1 5 +SepalWidth +Interval Frequency Coverage +]-inf;2.95] 36 0.342857 +]2.95;3.25] 41 0.390476 +]3.25;+inf[ 28 0.266667 + +Cell frequencies + SepalWidth +SPetalLength ]-inf;2.95] ]2.95;3.25] ]3.25;+inf[ Total Coverage +{4, 3, 6} 26 10 4 40 0.380952 +{1} 1 15 22 38 0.361905 +{5} 9 16 2 27 0.257143 +Total 36 41 28 105 +Coverage 0.342857 0.390476 0.266667 + +Cells 9 +Cell Id SPetalLength SepalWidth Frequency Coverage +C1 {4, 3, 6} ]-inf;2.95] 26 0.247619 +C8 {1} ]3.25;+inf[ 22 0.209524 +C6 {5} ]2.95;3.25] 16 0.152381 +C5 {1} ]2.95;3.25] 15 0.142857 +C4 {4, 3, 6} ]2.95;3.25] 10 0.0952381 +C3 {5} ]-inf;2.95] 9 0.0857143 +C7 {4, 3, 6} ]3.25;+inf[ 4 0.0380952 +C9 {5} ]3.25;+inf[ 2 0.0190476 +C2 {1} ]-inf;2.95] 1 0.00952381 + Total 105 1 diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/err.txt b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/err.txt similarity index 81% rename from test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/err.txt rename to test/LearningTest/TestKhiops/Standard/IrisU/results.ref/err.txt index 82ae520c0..41d610c82 100644 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/results.ref/err.txt +++ b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/err.txt @@ -1,6 +1,6 @@ -Train unsupervised model -Database ../../../datasets/Iris/Iris.txt: Read records: 150 Selected records: 105 -Evaluation of variable pairs -Data preparation time: 0:00:00.37 -Write report ./results\AllReports.khj - +Train unsupervised model +Database ../../../datasets/Iris/Iris.txt: Read records: 150 Selected records: 105 +Evaluation of variable pairs +Data preparation time: 0:00:00.26 +Write report ./results\AllReports.khj + diff --git a/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/time.log b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/time.log new file mode 100644 index 000000000..05e2ce276 --- /dev/null +++ b/test/LearningTest/TestKhiops/Standard/IrisU/results.ref/time.log @@ -0,0 +1 @@ +Overal time: 0.6460590362548828 diff --git a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/test.prm b/test/LearningTest/TestKhiops/Standard/IrisU/test.prm similarity index 97% rename from test/LearningTest/TestKhiops/Standard-unstable/IrisU/test.prm rename to test/LearningTest/TestKhiops/Standard/IrisU/test.prm index f5d612729..98fcd668b 100644 --- a/test/LearningTest/TestKhiops/Standard-unstable/IrisU/test.prm +++ b/test/LearningTest/TestKhiops/Standard/IrisU/test.prm @@ -1,54 +1,54 @@ -// Thu Jun 12 13:31:06 2008 -// modl -// Output command file -// -//This file contains recorded commands, that can be replayed. -//Commands are based on user interactions: -// field update -// list index selection -// menu action -//Every command can be commented, using //. -//For example, commenting the last Exit command will allow other -//user interactions, after the commands have been replayed. -// -// - -// -> Data preparation and scoring -ClassManagement.OpenFile // Open... - -// -> Open -ClassFileName ../../../datasets/Iris/Iris.kdic // Dictionary file -ClassFileName ./IrisExtended.kdic // Dictionary file -OK // Open -// <- Open - -ClassManagement.ClassName Iris // Dictionary - -TrainDatabase.DatabaseFiles.List.Key Iris // List item selection -TrainDatabase.DatabaseFiles.DataTableName ../../../datasets/Iris/Iris.txt // Database file -TrainDatabase.SampleNumberPercentage 70 // Sample percentage - - -AnalysisSpec.TargetAttributeName // Target variable - -AnalysisSpec.PredictorsSpec.SelectiveNaiveBayesPredictor false // Predicteur Bayesien Naif Selectif - -AnalysisSpec.PredictorsSpec.ConstructionSpec.MaxAttributePairNumber 100 // Max number of pairs of variables - -AnalysisResults.ResultFilesDirectory ./results // Result files directory -AnalysisResults.Preparation2DFileName PreparationReport2D.xls // Preparation report - - - -AnalysisSpec.PredictorsSpec.ConstructionSpec.MaxTreeNumber 0 // Max Tree number -AnalysisSpec.PredictorsSpec.ConstructionSpec.MaxConstructedAttributeNumber 0 // Max number of constructed variables -ComputeStats // Analyse database - -Exit // Close -// <- Data preparation and scoring - - -// -> Data preparation and scoring -OK // Close -// <- Data preparation and scoring - +// Thu Jun 12 13:31:06 2008 +// modl +// Output command file +// +//This file contains recorded commands, that can be replayed. +//Commands are based on user interactions: +// field update +// list index selection +// menu action +//Every command can be commented, using //. +//For example, commenting the last Exit command will allow other +//user interactions, after the commands have been replayed. +// +// + +// -> Data preparation and scoring +ClassManagement.OpenFile // Open... + +// -> Open +ClassFileName ../../../datasets/Iris/Iris.kdic // Dictionary file +ClassFileName ./IrisExtended.kdic // Dictionary file +OK // Open +// <- Open + +ClassManagement.ClassName Iris // Dictionary + +TrainDatabase.DatabaseFiles.List.Key Iris // List item selection +TrainDatabase.DatabaseFiles.DataTableName ../../../datasets/Iris/Iris.txt // Database file +TrainDatabase.SampleNumberPercentage 70 // Sample percentage + + +AnalysisSpec.TargetAttributeName // Target variable + +AnalysisSpec.PredictorsSpec.SelectiveNaiveBayesPredictor false // Predicteur Bayesien Naif Selectif + +AnalysisSpec.PredictorsSpec.ConstructionSpec.MaxAttributePairNumber 100 // Max number of pairs of variables + +AnalysisResults.ResultFilesDirectory ./results // Result files directory +AnalysisResults.Preparation2DFileName PreparationReport2D.xls // Preparation report + + + +AnalysisSpec.PredictorsSpec.ConstructionSpec.MaxTreeNumber 0 // Max Tree number +AnalysisSpec.PredictorsSpec.ConstructionSpec.MaxConstructedAttributeNumber 0 // Max number of constructed variables +ComputeStats // Analyse database + +Exit // Close +// <- Data preparation and scoring + + +// -> Data preparation and scoring +OK // Close +// <- Data preparation and scoring +