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To evaluate the performance of the clustering algorithms, we employ external metrics that utilize a priori knowledge of the classification information of the data set.
In the second experiment, we examined the proposed framework without a priori knowledge of the classification of the experimental conditions.
Like other supervised methods, SVMs require prior knowledge of the classification problem, which has to be provided in the form of labeled training data.
The overall aim of this study was to examine a model to introduce GMFCS-E&R in a setting with no previous knowledge of the classification and furthermore to determine the validity and the reliability.
In the wrapper-based approach, no knowledge of the classification algorithm is needed for the feature selection process, which finds optimal features by using the classification algorithm as part of the evaluation function.
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Overall, trainees had a greater knowledge of the correct classification (p < 0.01).
We did not test whether the participating nurses already had knowledge of the NANDA classification or experience in the use of a PES-format.
In our studies, constraints were designed from our knowledge of the family classifications of the sequences resulting in four constraints.
Third was our knowledge of the previous classifications made by the Sorlie et al. 2003 Intrinsic/Stanford list of the Stanford/Norway samples (these samples are identified in Additional file 1): there was a high concordance (78%) between the classification of these samples made using either the Sorlie et al. 2003 Intrinsic/Stanford list or the Intrinsic/UNC list (excluding the IFN samples).
Established methods such as receiver operating characteristic (ROC) analysis and free-response receiver operating characteristic (FROC) analysis can provide metrics for assessing performance given knowledge of the true disease classification.
Looking toward clinical applications, current and future large-scale imaging studies are uniquely equipped to advance knowledge into the classification of psychiatric patients.
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