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When tree induction model was run on a numerical dataset, the highest performance was gained on the Gini index criterion of the decision tree (96.0% ± 6.7%) and the lowest performance (47.9% ± 16.6%) was obtained when tree induction was applied on discretized data of the decision tree with the Gini index criterion.
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A further 'inner level' Monte Carlo sampling then quantifies the effect of the simulated data on the decision.
Detailed data on the decisions of 1694 bio-scientists allow to detect similarities and differences between academia-based and industry-based scientists.
With a focus on engineering problems the aim is to bridge the imprecision of data to the decision making process.
More precisely, we study the possibility of exploiting the PLM characteristics for the huge data management of the Decision Support System specification applied to the Intermodal Transportation Networks.
We will use several sources of data for the decision-analysis.
First, the input and output data of the evaluated decision making unit are variable over time, and time series method is used to analyze and predict the data.
More information usually means more time is required to make a decision, perhaps leading to inertia, or volumes of one type of data bias the decision in the wrong direction, since more data is not always better data.
Due to the lack of data, the decision to give clopidogrel in pregnancy must always be based on cardiovascular risk assessment in mothers [ 15].
The funding bodies acknowledged above had not role in the design of the study, collection and analysis of data, or the decision to publish.
The funding bodies had no role in study design, analysis, interpretation of data and the decision to submit the manuscript.
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