Making my dataset stationary increases SampleEntropy score

When i make my dataset stationary by the taking difference method, my SampleEntropy score is increasing. It means my data is being less forecastable. But my results are deffinetly better after making my dataset stationary. Should i ignore result of SampleEntropy?

Topic forecasting descriptive-statistics time-series statistics machine-learning

Category Data Science

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