Sentence examples for Rate of instances from inspiring English sources

"The results from this analysis show that the highest rate of instances where electors moved back to their original address were aged between 20-24 years (24.8%), which is not anomalous behaviour for that age group," the submission said.

The 2007 study examined elections where wrongdoing was alleged and found the rate of substantiated instances of fraud ranged between 0.00004% and 0.0009%.

That would yield a voter fraud rate of one instance per every 34 million ballots, close to what Levitt's investigation turned up.

False alarm rate represents percentage of instances wrongly classified.

The State Education Department flagged Tapco after an analysis of the school's trigonometry Regents exams in 2010 found unusually high rates of erasures — instances where incorrect answers had been erased and corrected; erasures can be a sign that students were coached or that teachers changed answers.

Of 6 BP measures (taken every 5 minutes) during the study period, nicardipine patients had higher rates of five and six instances within TR than labetalol (47.3% vs. 32.8%, P = 0.026).

In a new-year address this week, Ms Park described it as "an essential law that ensures minimum security in the case of a unique weakness".In this section Ask Siri Contagion Cabinet joiners Banned praise Yingluck in the dock The Hindutva rate of growth ReprintsFresh instances continue to justify it, say its supporters.

The chosen measure of classification performance is the rate of correctly classified instances, using the presence or absence of an apical dendrite as the ground truth.

The procedure for using the Wilcoxon signed-rank test was to compare the distribution obtained using the model with the highest averaged rate of correctly classified instances against each of the other distributions obtained with the rest of models.

The evaluation of the rate of correctly mapped instances from both positive and negative distributions prove that our method is able to both correctly scoring and separating sequences that experimentally showed prion-like activity from other sequences with no such an activity in the same assays, but also handling at the same time disproportionate positive and negative datasets.

From the mining results with the J48 algorithm we evaluate the induced models by typical measures: the rate of correctly classified instances, accuracy (higher values are better), the size of the tree (good values are related to interpretable trees), the root mean-squared error (RMSE), and mean absolute error (MAE) (smaller values are expected).