Sentence examples for mean kappa statistic from inspiring English sources

The mean kappa statistic for agreement between the survey and observations (validation) ranged from 0.06 to 1, poor to nearly perfect agreement.

The mean Kappa statistic was 0.68 ± 0.25.

However, the mean Kappa statistic for items in this study was higher than the mean Kappa statistic reported for item test-retest of the CaSUN (0.58 vs. 0.13) [ 27], which has previously been used to assess the unmet needs of haematological cancer survivors [ 9, 49].

Mean kappa statistic reported in the studies for each definition domain was: 0.82 (reasonable adaptation to a process will prevent future recurrence), 0.76 (morbidity adjusted risk estimate), 0.64 (presence of an identifiable modifiable cause), 0.62 (historical comparison) and 0.54 (adherence to guidelines).

The inter-observer variability was assessed by means of kappa statistic for the qualitative image analysis parameters regarding the evaluation of carotid, vertebral and basilar arteries (graded from 0 to 5).

A high accuracy and Kappa statistic would mean the taxa group membership could be predicted from the NIP's high-level organization of metabolic networks.

In a subsequent test retest, the correlation coefficient ranged between 0.43 and 0.96 for mean food group consumption while the Kappa statistic ranged between 0.27 and 0.89 for eating habits, confirming the suitability of the FFQ to measure habitual diet.

To evaluate the effectiveness of the model, some statistical measures were used: recall (fraction of relevant documents that are correctly classified), precision (fraction of documents correctly classified as relevant), F-measure (harmonic mean between recall and precision), and kappa statistic (which takes the output confusion matrix of an evaluation and reduces it to one value).

When the data have a low percentage of missing values (p = 0.10), individual mean, question mean, preceding question, single regression and MI all produce a Kappa statistic greater than 0.81 indicating "near perfect agreement".

For the subject specific classifier, a mean accuracy of 88.67% with Cohen's kappa statistic κ of 0.7393 was achieved.

Table 3 presents the mean, standard deviation, Spearman correlation coefficient, percent misclassified and kappa statistic for each imputation method.