Forecasting with Trees: Hybrid Modeling for Time Series

Simple Steps to Build an Effective Hybrid Forecaster

Tree-based algorithms are well-known in the machine learning ecosystem. By far, they are famous to dominate the approach of every tabular supervised task. Given a tabular set of features and a target to predict, they can achieve satisfactory results without so much effort or particular preprocessing. The splitting criterion, at the basis of their learning procedure, it’s effective to focus only on the relevant features …

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