This workflow demonstrates the following standard preprocessing steps before training a machine learning model:
- Partitioning
- Outlier detection
- Missing value handling
- Dimensionality reduction
- Conversion
- Feature selection
Workflow
Data Preprocessing for ML Models
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.2
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