Sentence examples for several decision trees from inspiring English sources

The Random Forest algorithm creates several decision trees during training.

Several decision trees are constructed using a subset of the compounds and the fingerprint bit positions.

It should be noticed that even though Clus-DTI may generate several decision trees for the same dataset, only one tree is used to classify each test instance, and hence only one tree needs to be interpreted at a time.

Zhu et al. proposed a learning-based approach for extracting saliency from RGB-D images, in which discriminative features can be automatically selected by learning several decision trees based on the ground truth, and those features are further utilized to search the saliency regions via the predictions of the trees [24].

They ensemble several decision trees (usually from hundreds to thousands) and give predictions by taking either the majority vote or the average of the single trees' outputs.

RF is an aggregation of several decision trees.

To estimate the proportion of each land cover class for every pixel several decision tree classifications were combined to obtain class membership maps which were finally converted to a discrete map accompanied by a confidence estimate.

Then several decision tree-based classifiers are trained and tested based on these features.

Among the several decision tree ensemble methods available, we utilized the Random Forests algorithm to create a model which accurately classified affected vs. unaffected twin pairs.

To further down select the features, we employed several decision-tree algorithms.

Several decision-tree models were presented to a stakeholder group made up of members of the research team and representatives from the provincial government.