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Found 2 papers, 1 papers with code
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting
In this context, we propose a novel method for the online selection of tree-based models using the TreeSHAP explainability method in the task of time series forecasting.
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Our method clearly outperforms other model selection approaches - on average, it only requires 20% of computation costs for recommending models with 90% of the best-possible quality.
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