Sentences with phrase «classification accuracy in»

Although the combination of measures improves classification accuracy in a prediction model, in practice, it is difficult to discern the combination of cut scores and patterns of performance that would identify a student as at risk for not passing the criterion measure.

Not exact matches

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Their unsupervised approach performed better than the more traditional methods of classification — those based on a set of predetermined features — and managed to reach up to 85.4 % accuracy in the large Brazilian data set, they report today in PeerJ.

«We hope that our new molecular classification method will help improve diagnostic accuracy in CNS tumors and, thus, also improve the chances for successful treatment,» said von Deimling.

Our recent demonstration of high levels of classification accuracy based on examination of specific intrinsic large - scale networks in 7 — 12 year - old children highlights the utility of using data from narrower developmental windows to identify potential biomarkers for the disorder (Uddin et al., 2013).

Variability and classification accuracy of serial high - sensitivity C - reactive protein measurements in healthy adults

Sufficient evidence demonstrates that direct route approaches to screening do not result in high levels of classification accuracy.

For example, Johnson et al. (in press) found that including a vocabulary assessment with an oral reading fluency (ORF) assessment significantly increased classification accuracy when predicting performance on a third grade state assessment.

The Jenkins et al. (2007) review also reported, however, that with the exception of WIF in 1st grade, current measures and approaches to screening, especially those used in Grades 2 and 3, tend not to result in high levels of classification accuracy.

DISCO said that because of its native cloud technology it had the advantage of massive GPU compute - on - demand capabilities to power the latest machine learning technologies and algorithms, such as Google's Word2Vec and a series of Convolutional Neural Networks (CNNs), to deliver higher levels of classification accuracy «[that are] faster than ever previously seen in the legal space», it claimed.

• Assessed received patient data to determine accuracy and completeness • Assisted in punching patient information such as demographics and treatment provided in facility database • Provided support in preparing statistical and narrative reports by collecting data from different avenues • Ascertained the accuracy of received data by consulting classification manuals to locate disease processes information • Processed and prepared government forms and admission and discharge documents

[13] However, Gottman's 2002 paper makes no claims to accuracy in terms of binary classification, and is instead a regression analysis of a two factor model where skin conductance levels and oral history narratives encodings are the only two statistically significant variables.