Sentence examples for decision tree system from inspiring English sources

To develop a new decision tree system (DTS) for the management of adnexal masses in prepubertal and adolescent girls, aimed to improve the distinction between benign and malignant masses, help preserve affected ovaries during surgery, and reduce the rate of surgical management of uncomplicated functional ovarian cysts.

However, a combination of the three metrics in a decision tree system yielded the greatest potential for predicting WS outbreak risk.

Algorithms were then developed to amalgamate different combinations of information from these metrics into a decision tree system [27] to predict outbreak risk.

Using our defined threshold for disease outbreak (≥50 WS cases per 1500 m2), we increased the effectiveness of predicting outbreak risk by combining the outcomes from our three satellite metrics into a decision tree system.

A series of tools were created that include: a decision tree, a system for grouping exposures, and a graphical tool (the MCR-HI plot).

When building the C4.5 and AD decision tree model, system defaults including J48-C 0.25-M 2 and ADTree-B10-E-3 were applied to all.

Eighteen evaluators participated in our subjective evaluations, and each of them was asked to listen to 20 randomly chosen pairs of synthesized waveforms generated by two different synthesizers (i.e., the soft decision tree-based system and the conventional system).

Experimental results using both objective and subjective criteria showed that the proposed system outperforms the conventional hard decision tree-based system.

This paper deals with decision tree based power system security assessment for multiple contingencies.

Once an alternating decision tree is built, the system classifies any input PPI pairs into positives and negatives by searching possible paths along the tree and selecting the most confident prediction.

These findings specifically highlight a central regulatory role for transcellular contractility in governing cell motility, while at the same time demonstrating the value of a decision tree approach to a systems "signal-response" model in discerning non-intuitive behavior arising from integrated operation a cell signaling network.