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20220105 Pikairos How to convert the Polynomial Regression Learner curves to math formula

20220104 Pikairos How to convert the Polynomial Regression Learner curves to math formula

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Simple Model Training for Polynomial RegressionThis workflow demonstrates how a Polynomial Regression Model is built and applied to new data.Task Predict the number of mosquitoes found on the basis of species and trap type.https://hub.knime.com/raksharawat/spaces/Public/latest/project/8.%20polynomial%20regression~HCB4hZPv0tiD8EOR Data PartitioningCreate two separate partitionsfrom original data set1. training set (80%) 2. test set (20%). Train a ModelThis node builds a polynomialregression model. Most Learnernodes output a PMML model (bluesquare output port). Apply the ModelPredictor nodes apply a specificmodel to a data set and append themodel predictions. Score the ModelProvide with the Accuracy ofRegression in the form of RSquare training set test set Interactive TableDisplay table of the entire data Data ReadingRead the new file 'westnilevirus.csv'created after data preprocessing. It contains:1. Trap Type2. Number of Mosquitoes3. Species4. Test Results How to Extract information from PMML model Random drawing 80% upper port20% lower portShow entire data as tableTarget Class= Number of MosquitoesApply the trained modelfor predictionRegression AccuracyKeep onlyFields fromPMML ModelAll Fieldsin Modelwestnilevirus.csvReplace RowIDby Variable NamesConvert VariableColumn toVariablesBuild &Apply FormulaBuild &Apply FormulaPartitioning InteractiveTable (local) PolynomialRegression Learner RegressionPredictor Numeric Scorer PMML To Cell XML To JSON JSON to Table Column Filter Transpose InteractiveTable (local) Column Rename File Reader RowID Table Columnto Variable Math Formula Math Formula Simple Model Training for Polynomial RegressionThis workflow demonstrates how a Polynomial Regression Model is built and applied to new data.Task Predict the number of mosquitoes found on the basis of species and trap type.https://hub.knime.com/raksharawat/spaces/Public/latest/project/8.%20polynomial%20regression~HCB4hZPv0tiD8EOR Data PartitioningCreate two separate partitionsfrom original data set1. training set (80%) 2. test set (20%). Train a ModelThis node builds a polynomialregression model. Most Learnernodes output a PMML model (bluesquare output port). Apply the ModelPredictor nodes apply a specificmodel to a data set and append themodel predictions. Score the ModelProvide with the Accuracy ofRegression in the form of RSquare training set test set Interactive TableDisplay table of the entire data Data ReadingRead the new file 'westnilevirus.csv'created after data preprocessing. It contains:1. Trap Type2. Number of Mosquitoes3. Species4. Test Results How to Extract information from PMML model Random drawing 80% upper port20% lower portShow entire data as tableTarget Class= Number of MosquitoesApply the trained modelfor predictionRegression AccuracyKeep onlyFields fromPMML ModelAll Fieldsin Modelwestnilevirus.csvReplace RowIDby Variable NamesConvert VariableColumn toVariablesBuild &Apply FormulaBuild &Apply FormulaPartitioning InteractiveTable (local) PolynomialRegression Learner RegressionPredictor Numeric Scorer PMML To Cell XML To JSON JSON to Table Column Filter Transpose InteractiveTable (local) Column Rename File Reader RowID Table Columnto Variable Math Formula Math Formula

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Created by: Admin
Created at: 2020-04-30
On NodePit since: 2022-02-06
Last update: 2024-12-24
Created with KNIME version: v4.4.1

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