Sentence examples for grown decision from inspiring English sources

A random forest is an ensemble of fully grown decision trees, each fit to different random subsets of the data and with a random subset of features.

In our application each RF consisted of 2000 randomly grown decision trees.

A fully grown decision tree typically overfits the observed data, and significant improvements can be obtained with ensemble methods that average the predictions of several randomized trees, e.g. Random Forests (Breiman, 2001) or Extra-Trees (Geurts et al., 2006).

Expression values of the selected 19,190 probesets were used to identify genes that predict TRAIL-sensitivity by growing decision tree ensembles in the Random Jungle implementation of the Random Forest (RF) algorithm [ 9, 10].

As the evidence base linking palm oil consumption and population health grows, decision makers should consider policies that focus on consumption of both plant and animal sources of saturated fat to address rapidly rising ischemic heart disease mortality in developing countries.

"As they grow, decisions will become harder to make," Pachter cautions.

Despite this, as my interviews reveal, managers in publishing houses have enjoyed growing decision-making power over the distribution of bonuses for editors and the management of human resources.

On the other hand, decision tree type of classifiers such as OVFDT and iOVFDT are about to grow extra decision paths to relieve this specific inaccuracy hotspot.

We start this section by describing how to grow a decision tree and then move on to the random forest.

Informatica Corporation (Proposed symbol: INFA) makes software to help companies build, manage and grow enterprise decision support systems built to better understand business trends.

No matter how you slice it, the nation's opioid epidemic "is not finished growing," said decision scientist Jagpreet Chhatwal of Harvard Medical School and Massachusetts General Hospital, who led the research.