SBAMDT is a Bayesian additive tree model with hard-or-soft and univariate-or-multivariate splits, reporting better spatial predictions than existing tree ensembles.
The B ayesian additive classification tree applied to credit risk modelling
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SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules
SBAMDT is a Bayesian additive tree model with hard-or-soft and univariate-or-multivariate splits, reporting better spatial predictions than existing tree ensembles.