Sentence examples for growing a decision tree from inspiring English sources
This new sampling method always provides highly informative SNPs for the subspace at any node in growing a decision tree.
We start this section by describing how to grow a decision tree and then move on to the random forest.
The hypotheses are stored in a decision tree, which grows by one level at each step of the tracking.
A decision tree is grown using treatment parameters as predictors and "intent" as outcome variable to classify the treatments into curative or palliative.
After a decision tree is fully grown, CART analysis conducts a minimal cost-complexity pruning method to avoid overfitting.
A decision tree is usually grown by starting from the whole population, looking at the most discriminative variable to predict a desired outcome (which becomes a node), and splitting the data based on a cut-off value of this variable (inducing an edge).
Random Forests [ 9] independently and uniformly samples with replacement the training data L to draw a bootstrap data set L k * from which a decision tree T k * is grown.
A decision tree was created to evaluate 3 treatment modalities for coronal angular deformity in growing children: temporary hemiepiphysiodesis using staples, percutaneous screws, or a tension band plate.
The first tool was a decision tree model, derived through a decision tree learning algorithm, which allows discrimination among three Bd ranges.
