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10_​H2O_​DriverlessAI_​CreditCard

KNIME H2O Driverless AI Credit Card
Read in and blend data from different sources. Preprocess data. Send data to Driverless AI, run an experiment and predict the test data. Inspect and write outpredictions. Build experiments within Driverless AI and consume the output in a KNIME workflow. Use the best model to score on fresh data that arrive in production. Partition into train and test set.Replace missing valueswith mean or mostfrequent value.Add an age binned columnscore the test data setWrite out the predictions.Default Payment DataAdd Demographic DataAdd Payment HistoryAdd Bill InformationTarget to StringReplace missing valueswith mean or mostfrequent value.Add an age binned columnScore production dataDemographics Datatest.db connectionPayment HistoryBill InformationRead data from database into KNIMEUpload data to Driverless AIRun Experiment within KNIMEPrepare data in KNIMEto model inside of DAI UI.Load MOJO of experiment 1Load MOJO of experiment 2Load MOJO of best modelfresh accounts Partitioning Missing Value Numeric Binner H2O Driverless AI MOJOPredictor (Classification) Scorer (JavaScript) Concatenate CSV Writer ROC Curve CSV Reader (Labs) Joiner (Labs) Joiner (Labs) Joiner (Labs) Number To String Missing Value Numeric Binner H2O Driverless AI MOJOPredictor (Classification) Table Reader SQLite Connector DB Query Reader DB Table Selector DB Reader Upload data to H2ODriverless AI Run H2O DriverlessAI Experiment Upload data to H2ODriverless AI Load MOJO from H2ODriverless AI Load MOJO from H2ODriverless AI Load MOJO from H2ODriverless AI Top k Selector Table Rowto Variable Table Reader Read in and blend data from different sources. Preprocess data. Send data to Driverless AI, run an experiment and predict the test data. Inspect and write outpredictions. Build experiments within Driverless AI and consume the output in a KNIME workflow. Use the best model to score on fresh data that arrive in production. Partition into train and test set.Replace missing valueswith mean or mostfrequent value.Add an age binned columnscore the test data setWrite out the predictions.Default Payment DataAdd Demographic DataAdd Payment HistoryAdd Bill InformationTarget to StringReplace missing valueswith mean or mostfrequent value.Add an age binned columnScore production dataDemographics Datatest.db connectionPayment HistoryBill InformationRead data from database into KNIMEUpload data to Driverless AIRun Experiment within KNIMEPrepare data in KNIMEto model inside of DAI UI.Load MOJO of experiment 1Load MOJO of experiment 2Load MOJO of best modelfresh accounts Partitioning Missing Value Numeric Binner H2O Driverless AI MOJOPredictor (Classification) Scorer (JavaScript) Concatenate CSV Writer ROC Curve CSV Reader (Labs) Joiner (Labs) Joiner (Labs) Joiner (Labs) Number To String Missing Value Numeric Binner H2O Driverless AI MOJOPredictor (Classification) Table Reader SQLite Connector DB Query Reader DB Table Selector DB Reader Upload data to H2ODriverless AI Run H2O DriverlessAI Experiment Upload data to H2ODriverless AI Load MOJO from H2ODriverless AI Load MOJO from H2ODriverless AI Load MOJO from H2ODriverless AI Top k Selector Table Rowto Variable Table Reader

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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: simon
Created at: 2020-09-23
On NodePit since: 2020-10-15
Last update: 2024-04-27
Created with KNIME version: v4.2.2
Tags: H2ODriverless AIpartner extensionMOJO

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