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Deployment

DEPLOYMENT OVERALL THE PREDICTED PROBABILITIES BY THE LOGISTIC REGRESSION MODELWAS MUCH CLOSER TO THE SUBMISSIONDATA THAN THAT OF THE DECISION TREEMODEL. read datasetfiltered for shot made columns with missing valued for deployment of our prediction model our trained decision tree modelpredicted probabilities and final data(logistic regression model)our trained logistic regression modelpredicted shot made probabilities for our decision tree modelNode 8Node 9 CSV Reader Row Filter PMML Reader PMML Predictor PMML Reader PMML Predictor Color Manager InteractiveHistogram (local) DEPLOYMENT OVERALL THE PREDICTED PROBABILITIES BY THE LOGISTIC REGRESSION MODELWAS MUCH CLOSER TO THE SUBMISSIONDATA THAN THAT OF THE DECISION TREEMODEL. read datasetfiltered for shot made columns with missing valued for deployment of our prediction model our trained decision tree modelpredicted probabilities and final data(logistic regression model)our trained logistic regression modelpredicted shot made probabilities for our decision tree modelNode 8Node 9 CSV Reader Row Filter PMML Reader PMML Predictor PMML Reader PMML Predictor Color Manager InteractiveHistogram (local)

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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: serenakwakye-mintah
Created at: 2022-11-26
On NodePit since: 2022-11-26
Last update: 2024-05-01
Created with KNIME version: v4.6.3

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