Sentence examples for balanced datasets from inspiring English sources
Other studies have also employed balanced datasets [ 25, 26].
Instead, many neuroimaging studies train classifiers based on artificially balanced datasets containing approximately equal numbers of patients and controls.
We have compared balanced datasets (equal number of positive and negative interactions) to estimate the reliability of our genomic feature filtering.
The remaining 9 sets were used for training by randomly drawing balanced datasets of different sizes from the mutations as mapped to protein chains (see Table 2).
For each RSCU combination, we extracted balanced datasets by randomly sampling an equal number of genes from each tissue-specific list.
It should be noticed however that these signals may be related to other taxonomic effects, as also noticed before [ 32], and that can be avoided only with much larger and balanced datasets.
Table 2 Summary of the two compared datasets Active followers Classified URLs Retweets (Retweeters) Original dataset 419,446 22,179 154,078 (14 left & 4 right) (68,225) Balanced dataset 146,480 11,289 60,524 (4 left & 4 right) (27,597) The balanced dataset is a subset of the original dataset, where we balance the number of left and right media sources.
For the best scenario (balanced dataset, images containing foreground animals only, and manually segmented) the accuracy reached a 88.9% Top-1 and 98.1% Top-5, respectively.
To provide an overall appropriately balanced dataset, treatment group samples were distributed between array plates and hybridization batches.
(iv) Balanced dataset with fixed length epitopes (BalanceFix dataset): This dataset was generated from RealFix dataset using the same process as described above for creating BalanceVar dataset.
Because there are many more negative examples (non-binding sites) in the data than positive examples (binding site residue cluster or pocket) it was necessary to randomly select only a subset of the negative data to obtain a balanced dataset.
