Icon

Train Model and Deploy

Loads client data and credit applications and trains a random forest model to predict credit scores on previously unseen credit requests. The model is deployed as a workflow into /model/CreditScorer.

2. Train Model on full data 3. Create Inference Workflow for Deployment 1. Preprocessing Reporting Reporting 5. Deployment 4. Train Model with Cross Validation Create predictionsCreate finalworkflowWrite statsDeploy modelNew model better?Simplify stringsTelephone toyes/noClient DataCredit ApplicationsRemove rowswith missing valuesNode 84Model statisticsFeature scoresFeature score bar chart1 rowROC CurveConfusion matrix CaptureWorkflow Start CaptureWorkflow End CaptureWorkflow End CaptureWorkflow Start Random ForestPredictor Workflow Combiner CSV Writer Workflow Writer Create Statsand Metadata IF Switch Compare withexisting Model String Manipulation(Multi Column) Rule Engine Bar Chart CSV Reader Excel Reader Missing Value Joiner Data to Report Data to Report Image to Report Row Sampling ROC Curve Image to Report Data to Report Cross Validationwith Random Forest Column Filter Create Modelon Full Data Column Filter Success 2. Train Model on full data 3. Create Inference Workflow for Deployment 1. Preprocessing Reporting Reporting 5. Deployment 4. Train Model with Cross Validation Create predictionsCreate finalworkflowWrite statsDeploy modelNew model better?Simplify stringsTelephone toyes/noClient DataCredit ApplicationsRemove rowswith missing valuesNode 84Model statisticsFeature scoresFeature score bar chart1 rowROC CurveConfusion matrix CaptureWorkflow Start CaptureWorkflow End CaptureWorkflow End CaptureWorkflow Start Random ForestPredictor Workflow Combiner CSV Writer Workflow Writer Create Statsand Metadata IF Switch Compare withexisting Model String Manipulation(Multi Column) Rule Engine Bar Chart CSV Reader Excel Reader Missing Value Joiner Data to Report Data to Report Image to Report Row Sampling ROC Curve Image to Report Data to Report Cross Validationwith Random Forest Column Filter Create Modelon Full Data Column Filter Success

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: alexander
Created at: 2021-08-30
On NodePit since: 2023-01-31
Last update: 2024-12-17
Created with KNIME version: v4.7.0

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!