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01_​Experiment_​logging

Training workflow: Experiment logging This workflow preprocesses the data, trains the credit scoring model, saves the deployment workflow on KNIME Business Hub, and writes the reference predictions to the database. Besides, the workflow logs all the training artifacts, such as timestamp, training data metadata, deployment workflow summary, model hyperparameters, deployment workflow location, and model performance to the csv file.
Extract the timestamp
Extract the metadata about the training and test data
Capture models configuration: algorithm, hyper-parameters, features, target, etc.
Save the whole prediction workflow with preprocessing, model(s), and predictor
Save reference predictions for monitoring
Logging workflow metadata, model performance, models hyper-parameters, model feature importance, etc.
Find the backup data in ../data folder
Path to String (Variable)
XGBoost Tree Ensemble Learner
PostgreSQL Connector
Save Reference Predictions
Add project name
Constant Value Column (deprecated)
Training data
Feature Importance
Table to JSON
Execution date & time
Date&Time Configuration
Model summary
Workflow Summary Extractor
XGBoost Predictor
Data Preprocessing
Create one row
Column Appender
Capture Workflow Start
Workflow Writer
Data Preprocessing (Apply)
Container Input (Table)
Capture Workflow End
Binary Classification Inspector
Workflow path, name, timestamp
Variable to Table Row
Append to ModelsLogFile.csv
CSV Writer
75% training 25% test
Table Partitioner
Standardize the log table structure
Table Manipulator

Nodes

Extensions

  • No modules found

Links

Download

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

Download Workflow
Created by: Lada.Rudnitckaia
Created at: 2022-10-07
On NodePit since: 2026-07-15
Last update: 2026-07-16
Created with KNIME version: v5.11.0

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