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., Boruta) and statistical imputation methods (e.g., KNN/Iterative Imputer) are applied to optimize variable efficiency and handle missing data. Ensemble algorithms—specifically Gradient Boosting, LightGBM
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investigates how to adapt, modify, and optimize decentralized nature-based solutions (NbS) and green-grey hybrid infrastructure—encompassing sanitation, drainage, and flood mitigation. The candidate will address
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structure. MML constructs a two-part message consisting of an assertion (describing the model and its parameters) and a detail (encoding the data given the model). The total message length, measured in bits
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational