Sentence examples for significance classification from inspiring English sources
Using the clinical significance classification, the severity of symptoms was evaluated: 10.4% of the cases were mild, 38.6% moderate, 38.0% severe, and 12.9% very severe.
All together, this information can be visualized on a gene and donor specific way including annotation of significance, classification and proportionate contribution to classification.
With the present trends in rising the importance of β-glucosidases in industrial applications, this review is an update on fungal β-glucosidases particularly from Trichoderma species, an overview of their increasing significance, classification of the enzymes, their structure and properties, and also their prospective role in biotechnological applications.
The logistic regression model successfully predicted HIV ART adherence with the overall model and 4 predictors (i.e., age, ancestry [race/ethnicity], perceived social capital, and HIV disclosure law) achieving statistical significance and classification results indicated modest success, with an overall correct classification of 60%.
Table 1 CI for stock logistic regressive predictor: model summary Step −2 Log likelihood Cox & Snell R Square Nagelkerke R Square 1 174.892.592.790 Hosmer and Lemeshow Test Step Chi-square Degree of Freedom Significance 1 54.346 8.000 Classification Table Observed output Percentage Correct 0 1 Step 1 Output 0 152 18 890.5 Overall Percentagell Percentage 90.0.
This is why recent reports [e.g. 20], [46] consider the significance of classification accuracies more important than their absolute values: because BOLD is such an indirect measure of neural activity.
Statistical significance of classification accuracy was determined by permutation testing.
Then analyses of variance (PROC GLM) were performed by SAS to construct tests to determine the significance of classification effects.
They have also discussed a permutation test procedure to assess the statistical significance of classification performance for a given dataset size.
Since there are four features that are considered in this study, it is necessary to study their significance in classification performance.
The Working Formulation had important practical implications: Therapy was based on the grade of lymphoma The grade of lymphoma carried important prognostic significance The classification of lymphoma predicted possible transformation into a higher grade The detailed subclassification of lymphomas allowed standardisation of therapies and comparison of results from different centres.
