Feature Scaling Calculator
Scale raw feature values using min-max normalization, z-score standardization, robust scaling, and max-abs normalization for machine learning preprocessing.
Inputs
Results
Min-Max Scaled Value
0.5
Z-Score (Standard Scaled)
0
How to Use This Calculator
- Enter the feature values or paste summary statistics (min, max, mean, std).
- Select the scaling method: standardization (Z-score), min-max normalization, or robust scaling.
- Review scaled feature range and distribution.
- Use standardization for distance-based algorithms (KNN, SVM) and min-max for neural networks.
- Always fit scaling parameters on training data only -- transform test data using training parameters.
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