Sentence examples for dataset is equal to from inspiring English sources

The highest SE for this dataset is equal to 10.93 bits (log2N, where N is the number of compounds).

Needless to say, the latter is an exceedingly large number, especially since the mean value of the growth rate of GDP per caput in the dataset is equal to 1.81percentt, and it reflects the functional assumption that the marginal gains in terms of growth stemming from reductions in the PFI increase as the PFI decreases.

If this filtered dataset was equal to zero projects, the first research question of this paper would be "no, FSP managers have not changed their license schema, despite the known effect of that on attractiveness found in previous research".

Interestingly, the prevalence of any sphincter laceration in the American dataset was equal to that in the present study despite the huge difference in cesarean section rates (43.8 compared to 16.4%) [ 11].

For 16 of the 17 items, the median in the training dataset was equal to the median in the test dataset; the lone exception was item 8 ("How often have you had trouble controlling your anger (e.g., road rage, screaming, etc).?"), which had a median of 1 in the training dataset and a median of 0 in the test dataset.

Averaged across the five milk production traits, the accuracy of Holstein GBLUP predictions using bulls only in the reference dataset was equal to 0.61, compared with 0.52 if only pedigree information (no SNP effects) was used (see Additional file 3: Table S1).

In other words, the typical difference between two datasets is equal to the typical number of events per day.

This superiority of MCRF-ODT on LibSVM is statistically significant, in so far as according to the sign test, the p value of the observed results (7 wins of MCRF-ODT on LibSVM with 7 datasets) is equal to 0.0156.

These datasets are equal to or bigger than the ones which are tested with LEAP [ 9] in terms of size and number of strings.

The method used to create datasets is equal-distance sampling.

Firstly, we produce n feature vectors generated by CNNs layer of pool5 (for City Centre and New College dataset, n is equal to 2474 and 2146, respectively) using Caffe [25].