Teradata SMOTE Oversampling

Teradata SMOTE Oversampling

• Minimum Version: Teradata 20.00 |

Core Capabilities

• Automated table structure analysis via DBC.ColumnsV
• Dynamic SQL generation for TD_SMOTE
• Complete workflow from data preparation to results interpretation
• Data quality validation and preprocessing guidance
• Parameter optimization and tuning

Key Parameters

• InputColumns: Feature columns
• TargetColumn: Target/class column (identifies minority class)
• SamplingStrategy: 'smote' (standard), 'adasyn' (adaptive), 'borderline'
• NearestNeighbors: K for neighborhood (default 5)
• SamplingPercentage: Oversampling ratio percentage
• Seed: Random seed
• Accumulate: Columns to pass through

Use Cases

1. Handling class imbalance in classification
2. Fraud detection data augmentation
3. Rare event prediction improvement
4. Medical diagnosis with minority classes

Example Usage

-- TD_SMOTE execution
SELECT * FROM TD_SMOTE (
    ON {USER_DATABASE}.{USER_TABLE} AS InputTable
    USING
    InputColumns ('{FEATURE_COLUMNS}')
    TargetColumn ('{TARGET_COLUMN}')
    SamplingStrategy ('smote')         -- 'smote','adasyn','borderline'
    NearestNeighbors (5)
    SamplingPercentage (100)
    Seed (42)
    Accumulate ('{ID_COLUMN}')
) AS dt;

Scripts Included

Core Analytics Scripts

• table_analysis.sql: Automatic table structure discovery
• preprocessing.sql: Data preparation and feature engineering
• model_training.sql: TD_SMOTE execution
• evaluation.sql: Results analysis and metrics
• complete_workflow_template.sql: End-to-end workflow

Utility Scripts

• data_quality_checks.sql: Comprehensive data validation
• parameter_tuning.sql: Parameter optimization
• diagnostic_queries.sql: Results diagnostics and interpretation

Best Practices

• Always run table_analysis.sql first to understand your data structure
• Validate data quality before executing the analytical function
• Use parameter_tuning.sql to find optimal configuration
• Review diagnostic_queries.sql output for model/results validation

Limitations

• Requires Teradata Vantage 20.00+ with ClearScape Analytics
• Input data must meet function-specific requirements
• Results depend on data quality and parameter configuration

Teradata SMOTE Oversampling - ClearScape Analytics skill for Teradata Vantage