AutoML with XGBoost predicts optimum moisture content (R²=0.891) and maximum dry density (R²=0.804) on a published 115-sample dataset, though cross-dataset validation numbers are absent.
The performance comparison of the soft computing methods on the prediction of soil compaction parameters,
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Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach
AutoML with XGBoost predicts optimum moisture content (R²=0.891) and maximum dry density (R²=0.804) on a published 115-sample dataset, though cross-dataset validation numbers are absent.