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House_​Prices 7

Clustering after PCA on Dim0 and Dim1 - Herarcical distance euclidean + Kmeans First data exploration Preprocessing Dummization & Dimensional reduction PCA - Principal Component Analysis Linear regression Regression Tree Outliers PCA & R representations PCA & R single plots Cluster without PCA PCA Clustering Quando splittiamo in classi: Decision Tree PCA only quantitative with final R support Feature selection PARTE PREDITTIVA Integrare pulizia dati Vale Integrare pulizia dati Vale Rete neurale con prediction classi di binning solo da features numeriche Rete neurale con prediction classi di binning da tutte le features dummizzate Feature selection for regression Original data viewStatisticsLeggi TrainScatter PlotData after missingFilter low variancepredict the validating dataEsclusioniscore resultsbuildneural networkDummizationInclusioniPartitioningPCABox PlotShow excludedShow includedMax 0.8Apply to the validation setclusteringcolorpredictionsvs. actualsCalculate linearcorrelation2 dimens plotPCANode 2032 dimens plotData after missingDim 0TranspositionsContributionsImportance dim 0Dim 1ContributionsTranspositionsImportance dim 1Normalizclusteringassign shapeto clusterscreate scatterplotassign colorsto classes2 PCA inputassign colorsto classesassign shapeto clusterscreate scatterplotTranspositionsperform clusteringassign colorsto classesassign shapeto clusterscreate scatterplotclusteringcreate scatterplotassign shapeto clustersassign colorsto classesclusteringassign colorsto classescreate scatterplotassign shapeto clustersNode 259Plot Area/PricePca kneePca biplot individPca biplot varsPlot Pca dimsTreeTreeNode 276Node 286Bin 1Bin 1 min maxBin 2Bin 5 min maxCalculate linearcorrelationMax 0.8Plot Pca dimsPca kneePca biplot individPca biplot varsExclude PriceNode 301Normaliz70/30Exclude ColumnsApply to the validation setpartition data in 80% training20% validateusing stratified samplingTreeonly keepsalepriceand predictiondraw a line plotto visualize the performanceof the simple regression treescore the predictionPlotuse neural networkto predict classespartition data in 80% training20% validateusing stratified samplingNode 790NormalizNode 792Normalizpartition data in 80% training20% validateusing stratified samplingbuildneural networkuse neural networkto predict classesscore resultsNode 798Node 799PartitioningApply to the validation setNode 806Node 807selection and tranformationNode 810Node 811 InteractiveTable (local) Statistics File Reader Scatter Plot(local) InteractiveTable (local) Low Variance Filter Simple RegressionTree Predictor ReferenceColumn Filter Stacked BarChart(ggplot2) Scorer (deprecated) Backward FeatureElimination RProp MLP Learner One to Many ReferenceColumn Filter Partitioning PCA Box Plot (local) InteractiveTable (local) InteractiveTable (local) Correlation Filter ReferenceColumn Filter HierarchicalClustering Color Manager Linear Correlation Scatter Plot PCA Compute PCA Apply Scatter Plot InteractiveTable (local) Row Filter Transpose Column Filter Sorter Row Filter Column Filter Transpose Sorter Normalizer k-Means Shape Manager Scatter Plot(local) Color Manager Row Splitter Color Manager Shape Manager Scatter Plot(local) Transpose k-Means Color Manager Shape Manager Scatter Plot(local) HierarchicalClustering Scatter Plot(local) Shape Manager Color Manager k-Means Color Manager Scatter Plot(local) Shape Manager Joiner R View (Table) R View (Table) R View (Table) R View (Table) R View (Table) DecisionTree Learner Simple RegressionTree Learner Auto-Binner Column Filter Row Filter Extract Table Spec Row Filter Extract Table Spec Linear Correlation Correlation Filter R View (Table) R View (Table) R View (Table) R View (Table) Column Filter Column Filter Normalizer Backward FeatureElimination Partitioning Column Filter Backward FeatureElimination ReferenceColumn Filter Partitioning Simple RegressionTree Learner Column Filter Line Plot (local) Numeric Scorer(deprecated) Scatter Plot MultiLayerPerceptronPredictor Partitioning Column Filter Normalizer Column Filter Normalizer Partitioning RProp MLP Learner MultiLayerPerceptronPredictor Scorer (deprecated) Auto-Binner Column Filter Partitioning Backward FeatureElimination ReferenceColumn Filter Math Formula Math Formula(Multi Column) Preprocessing Extract TableDimension Extract TableDimension Clustering after PCA on Dim0 and Dim1 - Herarcical distance euclidean + Kmeans First data exploration Preprocessing Dummization & Dimensional reduction PCA - Principal Component Analysis Linear regression Regression Tree Outliers PCA & R representations PCA & R single plots Cluster without PCA PCA Clustering Quando splittiamo in classi: Decision Tree PCA only quantitative with final R support Feature selection PARTE PREDITTIVA Integrare pulizia dati Vale Integrare pulizia dati Vale Rete neurale con prediction classi di binning solo da features numeriche Rete neurale con prediction classi di binning da tutte le features dummizzate Feature selection for regression Original data viewStatisticsLeggi TrainScatter PlotData after missingFilter low variancepredict the validating dataEsclusioniscore resultsbuildneural networkDummizationInclusioniPartitioningPCABox PlotShow excludedShow includedMax 0.8Apply to the validation setclusteringcolorpredictionsvs. actualsCalculate linearcorrelation2 dimens plotPCANode 2032 dimens plotData after missingDim 0TranspositionsContributionsImportance dim 0Dim 1ContributionsTranspositionsImportance dim 1Normalizclusteringassign shapeto clusterscreate scatterplotassign colorsto classes2 PCA inputassign colorsto classesassign shapeto clusterscreate scatterplotTranspositionsperform clusteringassign colorsto classesassign shapeto clusterscreate scatterplotclusteringcreate scatterplotassign shapeto clustersassign colorsto classesclusteringassign colorsto classescreate scatterplotassign shapeto clustersNode 259Plot Area/PricePca kneePca biplot individPca biplot varsPlot Pca dimsTreeTreeNode 276Node 286Bin 1Bin 1 min maxBin 2Bin 5 min maxCalculate linearcorrelationMax 0.8Plot Pca dimsPca kneePca biplot individPca biplot varsExclude PriceNode 301Normaliz70/30Exclude ColumnsApply to the validation setpartition data in 80% training20% validateusing stratified samplingTreeonly keepsalepriceand predictiondraw a line plotto visualize the performanceof the simple regression treescore the predictionPlotuse neural networkto predict classespartition data in 80% training20% validateusing stratified samplingNode 790NormalizNode 792Normalizpartition data in 80% training20% validateusing stratified samplingbuildneural networkuse neural networkto predict classesscore resultsNode 798Node 799PartitioningApply to the validation setNode 806Node 807selection and tranformationNode 810Node 811 InteractiveTable (local) Statistics File Reader Scatter Plot(local) InteractiveTable (local) Low Variance Filter Simple RegressionTree Predictor ReferenceColumn Filter Stacked BarChart(ggplot2) Scorer (deprecated) Backward FeatureElimination RProp MLP Learner One to Many ReferenceColumn Filter Partitioning PCA Box Plot (local) InteractiveTable (local) InteractiveTable (local) Correlation Filter ReferenceColumn Filter HierarchicalClustering Color Manager Linear Correlation Scatter Plot PCA Compute PCA Apply Scatter Plot InteractiveTable (local) Row Filter Transpose Column Filter Sorter Row Filter Column Filter Transpose Sorter Normalizer k-Means Shape Manager Scatter Plot(local) Color Manager Row Splitter Color Manager Shape Manager Scatter Plot(local) Transpose k-Means Color Manager Shape Manager Scatter Plot(local) HierarchicalClustering Scatter Plot(local) Shape Manager Color Manager k-Means Color Manager Scatter Plot(local) Shape Manager Joiner R View (Table) R View (Table) R View (Table) R View (Table) R View (Table) DecisionTree Learner Simple RegressionTree Learner Auto-Binner Column Filter Row Filter Extract Table Spec Row Filter Extract Table Spec Linear Correlation Correlation Filter R View (Table) R View (Table) R View (Table) R View (Table) Column Filter Column Filter Normalizer Backward FeatureElimination Partitioning Column Filter Backward FeatureElimination ReferenceColumn Filter Partitioning Simple RegressionTree Learner Column Filter Line Plot (local) Numeric Scorer(deprecated) Scatter Plot MultiLayerPerceptronPredictor Partitioning Column Filter Normalizer Column Filter Normalizer Partitioning RProp MLP Learner MultiLayerPerceptronPredictor Scorer (deprecated) Auto-Binner Column Filter Partitioning Backward FeatureElimination ReferenceColumn Filter Math Formula Math Formula(Multi Column) Preprocessing Extract TableDimension Extract TableDimension

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Created by: Angelo
Created at: 2020-12-29
On NodePit since: 2021-01-01
Last update: 2024-04-23
Created with KNIME version: v4.3.0

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