The CatBoost shows a clear trend where data points for both parameters cluster tightly around the y = x bisector, with the fitted lines strictly mirroring this ideal relationship.This alignment serves as a testament to the model’s strong prediction, confirming its proficiency in accurately forecasting outcomes that align with real-world observations.
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Development of robust machine learning models to estimate hydrochar higher heating value and yield based upon biomass proximate analysis.
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