Sentence examples for decision predictors from inspiring English sources

21 This empirically grounded understanding of how evidence is utilised in commissioning decisions enabled the development of a conceptual model presented in figure 2. The model shows six decision predictors which could influence satisfaction with a decision.

These 10000 decision tree predictors were then applied to 1000 independent validation data sets and the predictor giving the best classification accuracy was chosen.

We simulated 10000 training data sets and used them to learn decision tree predictors.

For 5 min, 1 h and 16 h data sets, the best decision tree predictors achieved 70%, 75%and57%7% accuracy, respectively.

In this study, a computational methodology based on decision tree predictors is developed to discover molecular sub-groups from gene expression data and illustrate gene signatures associated with each group.

We have illustrated the discrete regions for cell migration speed and MLC in Figure 2. Decision tree predictors aim to uncover the predictive structure of a classification or prediction problem while still maintaining good prediction accuracy.

Ensembles of decision tree predictors were employed to cluster psoriatic samples on the basis of gene expression patterns and reveal gene expression signatures that best discriminate molecular disease subtypes.

Our study highlights the potential biological relevance of using ensemble decision tree predictors to determine molecular disease subtypes, in what may initially appear to be a homogenous clinical group.

In this chapter we present a layered architecture infrastructure, based on two Decision Tree predictor hardware implementations, suitable for medical data analysis in real-time and aimed at dealing with a wide data volume and preserving a good hardware resources efficiency.

Figure 3 shows a general framework of bagging for the decision tree predictor.

Stepwise variable selection was used to determine final regression models, with inclusion and elimination decisions about predictors conducted at the α = 0.10 level.