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01_​KNIME_​assessment_​training_​

Training & Saving model Inference and evaluation Explorative data analysis Client dataCredit dataJoining both datasetsTraining decision treewith training datasetPartioning in trainingand test datasets (75-25)Perform inferenceon test datasetSaving modelas pmml fileModelevaluationLoad PMMLmodel from fileNode 13Node 14Node 15Node 16Node 17Node 18Node 19 CSV Reader Excel Reader Joiner DecisionTree Learner Partitioning Decision TreePredictor PMML Writer Scorer PMML Reader PMML Predictor Statistics Linear Correlation Numeric Outliers CASE Switch End X-Partitioner X-Aggregator Training & Saving model Inference and evaluation Explorative data analysis Client dataCredit dataJoining both datasetsTraining decision treewith training datasetPartioning in trainingand test datasets (75-25)Perform inferenceon test datasetSaving modelas pmml fileModelevaluationLoad PMMLmodel from fileNode 13Node 14Node 15Node 16Node 17Node 18Node 19CSV Reader Excel Reader Joiner DecisionTree Learner Partitioning Decision TreePredictor PMML Writer Scorer PMML Reader PMML Predictor Statistics Linear Correlation Numeric Outliers CASE Switch End X-Partitioner X-Aggregator

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: chise
Created at: 2023-05-24
On NodePit since: 2023-05-30
Last update: 2024-04-26
Created with KNIME version: v4.7.3

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