Sentences with phrase «classification accuracy»

The team also took advantage of the fact that modern cameras, especially those on phones, embed the date and location in their images and used that information to improve classification accuracy.

Classification accuracies for each subject were averaged across cross-validation folds, and the mean accuracy was assigned to the center voxel of the search volume.

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.

The data are weighted to adjust for oversampling so that the CIDI test characteristics estimates (sensitivity, specificity, and total classification accuracy) are unbiased.

«They got super-high classification accuracy — but all the photos of Russian tanks were blurry, and American tanks were high - definition,» Daumé explains.

These analyses provide evidence that FAST ™ reading measures meet or exceed standards for classification accuracy at the «convincing evidence» level (62 %) or «partially convincing evidence» level (32 %) for an overall outcome that included 95 % of the individual comparisons across grades and states.

However, the research demonstrates that even with the close proximity of the spring PM measure to the state outcome measure, classification accuracy does not approach the optimal levels for an RTI framework — sensitivity was 79 % and specificity was 76 % (Hintze & Silberglitt, 2005).

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 DR approach based on single screening measures may compromise classification accuracy and, more importantly, may compromise the investigation of the student's specific difficulties so that interventions aligned with student needs can be provided.

HumRRO's expertise in student classification accuracy can help policy makers understand that important decisions, such as passing a high school exit exam, can be adjusted to reduce damaging errors.

However, because of the wide variation in symptom - level concordance, the unweighted six - question ASRS screener outperformed the unweighted 18 - question ASRS in sensitivity (68 · 7 % v. 56 · 3 %), specificity (99 · 5 % v. 98 · 3 %), total classification accuracy (97 · 9 % v. 96 · 2 %), and κ (0 · 76 v. 0 · 58).

Huang and Zhou used multi-scale and integrated image features to improve classification accuracy and were able to achieve high sensitivity (100 %) and specificity (85.2 %) for cancer detection using OCM images.

This decision - tree model gave a classification accuracy of 91.9 percent for distinguishing ASD subjects from the controls.

The output consists of individual probabilistic predictions, classification accuracy and confusion matrices as well as an illustrative pattern of the brain regions driving the discrimination.

When considering the alignment of assessment tools to state standards, it is important to consider two parameters: (a) alignment of test content to state standards, (b) classification accuracy.

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

The first statistic is the classification accuracy.

Classification accuracy is simply the total number of correctly classified cases (TP + TN) divided by the total number of students screened (TP + TN + FP + FN).

In the example in Figure 1, 65 of 85 students have been correctly classified, resulting in 76 % classification accuracy.

Catts et al. (2001) and Johnson et al. (2009) found that computing a risk index resulted in greater classification accuracy of a screening process compared with the classification accuracy of single screening measures.

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.

Student - Level Reliability, Classification Accuracy, and Convergent Validity Studies are used to describe the quality of students» test scores.

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.

The objectives were a) to assess the classification accuracy of the CAGI (sensitivity, specificity, positive and negative predictive values) for detecting problem gambling as confirmed by clinical assessment; and b) to compare the CAGI with existing instruments for youth problem gambling (convergent validity).