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"balanced data" is a correct and usable term in written English.
It typically refers to a data set that accurately and fairly represents a certain population or phenomenon. For example, "The results of the survey were based on a balanced data set that included participants from across the country."
Exact(60)
The macro is designed for balanced data only.
For balanced data sets, the numbers of training samples in each class are identical.
The data sets are processed with over_sampling techniques to generate balanced data set for required analysis.
The scheme also allows for energy savings by using load balanced data reporting paths.
A suitable storage is the ZIP file format which offers nicely balanced data archiving and data compression functionality.
Data are chosen based on producing an azimuthally balanced data set, while avoiding the inclusion of data with small signal-to-noise ratios.
However, the traditional ELM is mainly designed for balanced data learning in which the overall distribution of data is not considered.
In order to collect balanced data of the two participants behaviour, the modes were shifted regularly (every 10 turns), but they were always complementary ACTIVE on one side and PASSIVE on the other.
This study is important since it was the first to try to address the class imbalance inherent to real world spam detection, in contrast to previous studies that constructed balanced, or roughly balanced data sets.
These expectations are derived under simple assumptions and for equal allele frequencies and fully balanced data.
Because MMC requires balanced data, we excluded transcripts with any missing datapoints, leaving 662/960 transcripts associated with retinue response.
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