Sentence examples for ranking ratio from inspiring English sources

The final weights were created using an iterative process (ranking ratio estimation).

First, data are ranked, and the statistic of ( t_{i}^{{prime }} ) (I rank ratio to prior ranks) is calculated, then the cumulative frequency of the statistic of ( left( {sum t_{i} } right)t_{i} ) is obtained.

The process of calculating ( u_{i}^{{prime }} ) is as follows: data are ranked and the statistic of ( t_{i}^{{prime }} ) (I rank ratio to following ranks) is determined and then, the cumulative frequency of ( left( {sum t_{i} } right)t_{i} ) is calculated.

We calculate the top ranked ratio (TOP) as the number of all successful predictions divided by all validation runs.

Second, we normalize ranks by dividing them with the total number of candidate genes in the ranking list to obtain rank ratios and calculate a criterion called mean rank ratio (MRR) as the average of rank ratios of all test genes in the validation runs.

Two textual features "Frequency Rank Ratio (FRR)" and "Overall Intimacy (OI)" for capturing language variation are derived by employing the two proposed textual metrics.

An effective algorithm for extracting two useful features from text documents for analyzing word collocation habits, "Frequency Rank Ratio" (FRR) and "Intimacy", is proposed.

The characterized genes (Table 1) that showed the largest rank ratio changes in liver against mixed blood stages in P. yoelii were PY01852, a putative phosphotidylethanolamine binding protein; PY03168, the circumsporozoite protein; PY00446, a polyprenyl synthetase; PY00573 lipoamide dehydrogenase; and PY01586, beta-hydroxyacyl-acp dehydratase precursor.

Averaging rank ratios of all test genes, we obtained the first criterion called the Mean Rank Ratio (MRR).

The second criterion is termed mean rank ratio, which is simply the average of rank ratios for all known disease domains in a cross-validation experiment.

Second, we calculate the mean rank ratio (MRR) of all disease genes as the average of rank ratios of all disease genes in the validation runs.