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ml_​fall_​summit.knwf

Feature Engineering Resolve Missing Values Data understanding Resolve Sampling Bias Correlation Analysis Feature Selection Report model performance nodes Target Shuffling Create partial residual chart data for left-out DISCRETE NUMERICAL input features.Do this for each distinct value of Discrete Numerical feature. Report log odds of actual bad rate minus log odds of mean predicted bad rate. Create partial residual chart data for left-out CATEGORICAL input features.Do this for each distinct value of Categorical feature. Report log odds of actual bad rate minus log odds of mean predicted bad rate. Create partial residual chart data for left-out CONTINUOUS input features.Do this by quantile of CONTINUOUS feature amount. Report log odds of actual bad rate minus log odds of mean predicted bad rate. Report model performance Ridge Regression Lasso Regression Report model performance nodesAutism DataNode 2Node 5Node 6Node 7Node 8District CompletenessNode 10Node 11Node 88Node 89Node 90Node 91Node 92Node 99Node 102Node 103Node 104Node 105Node 106Node 107Node 108Node 109Node 111Label asUnshuffledNode 120Hold outSelected FeatureHereNode 189Label as ShuffledAccuracyandImportanceNode 198BorutaNode 200Node 202ViewoverlapNode 210Node 212ConnectorMeanActual and PredictedTargetSelectCONTINUOUSFeatures to Analyze*Rename featureto binInner LoopSet Numberof quantiles*Outer LoopSpecify Count*Node 330Calc lodds ResidAccuracyandImportanceAccuracyandImportanceNode 341Hold outSelected FeatureHereNode 343KeepoverallPerformanceShuffle or NotShuffledNot ShuffledSelectCATEGORICALFeatures to Analyze*Calc lodds ResidNode 358Node 361ResidualsScatter PlotNode 378Inner LoopHold outSelected FeatureHereNode 388MeanActual and PredictedTargetSet ShrinkageFactorOuter LoopSpecify Count*Selectfeatures*Node 398Node 413Node 762Node 763Node 764RidgeNode 771Node 774Node 775Node 786Rename tof_valCopy to newcolumn "Bins"Node 793Add CurrentFeature NameResidual LO Per BinNode 799ObservationsPer BinBin MidpointsRename tof_valAdd Current Feature NameConvert f_valto doubleNode 817Node 818Node 819LassoNode 821Node 822Node 823Node 824Node 825Node 826Node 827Node 828Node 829Node 830SelectDISCRETE NUMERICFeatures to Analyze*Convert Bins to StringConvert Binsto IntegerInner LoopCalc lodds ResidAdd Current Feature NameMeanActual and PredictedTargetCopy to newcolumn "Bins"Convert f_valto doubleRename tof_valNode 841 File Reader Statistics Missing Value Math Formula(Multi Column) Math Formula Constant ValueColumn Filter File Reader Joiner Math Formula Group Loop Start Math Formula Table Row to Variable(deprecated) Bootstrap Sampling Loop End Normalizer Math Formula Table Row to Variable(deprecated) Row Sampling Row Splitter Number To String Linear Correlation(deprecated) HierarchicalClustering k-Means Forward FeatureSelection Column Filter Backward FeatureSelection ConstantValue Column Concatenate (Optionalin) (deprecated) LogisticRegression Learner Logistic RegressionPredictor ConstantValue Column Accuracy Column Splitter Python Script (2⇒2) Python View One to Many Sorter Scorer Lift Chart (local) Column Filter GroupBy Column ListLoop Start Column Rename Loop End Auto-Binner Counting Loop Start Loop End (2 ports) Math Formula Accuracy Accuracy Target Shuffling LogisticRegression Learner Logistic RegressionPredictor Row Filter Row Splitter InteractiveHistogram (local) InteractiveHistogram (local) Column ListLoop Start Math Formula Loop End Lift Chart (local) Scatter Plot Scorer Loop End LogisticRegression Learner Logistic RegressionPredictor GroupBy Double Input Counting Loop Start Column Filter Equal Size Sampling Line Plot Counting Loop Start Loop End Math Formula(Variable) LogisticRegression Learner Math Formula Pivoting ConstantValue Column ConditionalBox Plot Column Rename Rule Engine Concatenate (Optionalin) (deprecated) ConstantValue Column ConditionalBox Plot Rename Target ConditionalBox Plot ConditionalBox Plot Column Rename ConstantValue Column Math Formula Feature Engineering Shuffle Integer Input LogisticRegression Learner Pivoting Counting Loop Start ConstantValue Column Loop End Integer Input Line Plot Math Formula(Variable) Math Formula Resample Nominal ValueRow Filter Column ListLoop Start Number To String Double To Int Loop End Math Formula ConstantValue Column GroupBy Rule Engine Math Formula Column Rename Resample Feature Engineering Resolve Missing Values Data understanding Resolve Sampling Bias Correlation Analysis Feature Selection Report model performance nodes Target Shuffling Create partial residual chart data for left-out DISCRETE NUMERICAL input features.Do this for each distinct value of Discrete Numerical feature. Report log odds of actual bad rate minus log odds of mean predicted bad rate. Create partial residual chart data for left-out CATEGORICAL input features.Do this for each distinct value of Categorical feature. Report log odds of actual bad rate minus log odds of mean predicted bad rate. Create partial residual chart data for left-out CONTINUOUS input features.Do this by quantile of CONTINUOUS feature amount. Report log odds of actual bad rate minus log odds of mean predicted bad rate. Report model performance Ridge Regression Lasso Regression Report model performance nodesAutism DataNode 2Node 5Node 6Node 7Node 8District CompletenessNode 10Node 11Node 88Node 89Node 90Node 91Node 92Node 99Node 102Node 103Node 104Node 105Node 106Node 107Node 108Node 109Node 111Label asUnshuffledNode 120Hold outSelected FeatureHereNode 189Label as ShuffledAccuracyandImportanceNode 198BorutaNode 200Node 202ViewoverlapNode 210Node 212ConnectorMeanActual and PredictedTargetSelectCONTINUOUSFeatures to Analyze*Rename featureto binInner LoopSet Numberof quantiles*Outer LoopSpecify Count*Node 330Calc lodds ResidAccuracyandImportanceAccuracyandImportanceNode 341Hold outSelected FeatureHereNode 343KeepoverallPerformanceShuffle or NotShuffledNot ShuffledSelectCATEGORICALFeatures to Analyze*Calc lodds ResidNode 358Node 361ResidualsScatter PlotNode 378Inner LoopHold outSelected FeatureHereNode 388MeanActual and PredictedTargetSet ShrinkageFactorOuter LoopSpecify Count*Selectfeatures*Node 398Node 413Node 762Node 763Node 764RidgeNode 771Node 774Node 775Node 786Rename tof_valCopy to newcolumn "Bins"Node 793Add CurrentFeature NameResidual LO Per BinNode 799ObservationsPer BinBin MidpointsRename tof_valAdd Current Feature NameConvert f_valto doubleNode 817Node 818Node 819LassoNode 821Node 822Node 823Node 824Node 825Node 826Node 827Node 828Node 829Node 830SelectDISCRETE NUMERICFeatures to Analyze*Convert Bins to StringConvert Binsto IntegerInner LoopCalc lodds ResidAdd Current Feature NameMeanActual and PredictedTargetCopy to newcolumn "Bins"Convert f_valto doubleRename tof_valNode 841 File Reader Statistics Missing Value Math Formula(Multi Column) Math Formula Constant ValueColumn Filter File Reader Joiner Math Formula Group Loop Start Math Formula Table Row to Variable(deprecated) Bootstrap Sampling Loop End Normalizer Math Formula Table Row to Variable(deprecated) Row Sampling Row Splitter Number To String Linear Correlation(deprecated) HierarchicalClustering k-Means Forward FeatureSelection Column Filter Backward FeatureSelection ConstantValue Column Concatenate (Optionalin) (deprecated) LogisticRegression Learner Logistic RegressionPredictor ConstantValue Column Accuracy Column Splitter Python Script (2⇒2) Python View One to Many Sorter Scorer Lift Chart (local) Column Filter GroupBy Column ListLoop Start Column Rename Loop End Auto-Binner Counting Loop Start Loop End (2 ports) Math Formula Accuracy Accuracy Target Shuffling LogisticRegression Learner Logistic RegressionPredictor Row Filter Row Splitter InteractiveHistogram (local) InteractiveHistogram (local) Column ListLoop Start Math Formula Loop End Lift Chart (local) Scatter Plot Scorer Loop End LogisticRegression Learner Logistic RegressionPredictor GroupBy Double Input Counting Loop Start Column Filter Equal Size Sampling Line Plot Counting Loop Start Loop End Math Formula(Variable) LogisticRegression Learner Math Formula Pivoting ConstantValue Column ConditionalBox Plot Column Rename Rule Engine Concatenate (Optionalin) (deprecated) ConstantValue Column ConditionalBox Plot Rename Target ConditionalBox Plot ConditionalBox Plot Column Rename ConstantValue Column Math Formula Feature Engineering Shuffle Integer Input LogisticRegression Learner Pivoting Counting Loop Start ConstantValue Column Loop End Integer Input Line Plot Math Formula(Variable) Math Formula Resample Nominal ValueRow Filter Column ListLoop Start Number To String Double To Int Loop End Math Formula ConstantValue Column GroupBy Rule Engine Math Formula Column Rename Resample

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