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Prior to implementing the recursive RF [ 15] described below, we explored how prediction accuracy of the forest was influenced by altering the parameters sampsize, mtry, and ntree, so these could be optimally set for the recursive RF implementation described below.
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We emphasize that the methods described below are one specific implementation within a general framework.
Before implementation, the units were randomized to one of the two implementation strategies described below.
Specifically, the seeds are placed randomly following what is known as a "simple point process" in probability; the actual implementation is described below.
The kernels used in the GPU implementation are described below.
The intervention and its intended three-level implementation is described below.
The three intervention hospitals will participate in the five step implementation process described below.
The trend for change for exemplar indicators over 5 years (2005 2009) in relation to the stage of implementation is described below.
These novel implementations are described below in more detail.
Each code and its implementation is briefly described below.
Our implementation works as described below.
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