Sentence examples for second best prediction from inspiring English sources

To confirm the above results, we also used the second best prediction program, MultiLoc, which has an accuracy of 36% in predicting subcellular localizations of S. cerevisiae proteins.

Referring from Tables 3 and 4, the ITU-R model has the best prediction between the studied time frame - the RMS error rate is only 25.2% - while the Karasawa model gives the second best prediction with an error rate of 49.3%.

Since the INDEP calls in the CIT do not require significance, we called a high confidence INDEP if 1) it is called INDEP by both methods, and 2) its BN relative likelihood (RL) to the second best model is equal or higher to the median RL of the SME and SEM high confidence calls to their second best prediction.

The normal mixture approach with a prior derived from air quality predictions obtained in M3 (M5) yielded the second best predictions.

This motivated a hybrid approach in which predictions from the two methods are combined by taking the top two predictions from LigsiteCSC and the top three pattern-based predictions (on average the third best pattern-based prediction is better than third best prediction from LigsiteCSC).

For example, when CC an REG both agree on a solution that coincides with the second best HMM prediction, we choose this prediction.

Second, the best prediction errors and GC contents of H. sapiens and X. tropicalis were close to each other, in agreement with the fact that most H. sapiens introns are shared with those of X. tropicalis and their divergence is quite recent (unpublished data).

The first approach gave the best prediction accuracy in our case.

First, we looked at the best prediction accuracy across all feature sets of both marker- and transcript-based prediction.

A better prediction within 10% was found for the second and third approaches with the later approach giving the best prediction.

The best-performing prediction setting for MF was again PFP-MF-FAM0.9, with an average Fmax score of 0.7817 at an E-value cut-off of 0.0, and the second-best performing prediction setting was PFP-MF-FAM0.75 (0.7644).