Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification
{{output}}
Interpretable causal machine learning (ICML) was used to predict the performance of denitrification and clarify the relationships between influencing factors and denitrification. Multiple models were examined, and XG-Boost model provided the best prediction (R... ...
