Sentence examples for good data sets from inspiring English sources

Several good data sets are now available, which provide tests of expectations, insights into species colonization and unexpected genetic subdivision and mixture of species.

Collection of good data sets in relationship to each case is also essential as is an accurate description of the individual features contributing to the diagnosis of each case of IBC.

He had a good data set that showed how many minutes he spent each day in focused work.

Steve Jost, a spokesman for the Census Bureau, said same-sex couples would be counted, "and they ought to report the way they see themselves," adding, "In the normal process of reports coming out after the census of 2010, I think the country will have a good data set on which to discuss this phenomenon that is evolving in this country".

Even once the right algorithms are chosen, a good data set identified and a process to improve and scale ML is hardened, startups are often just at the starting line.

To be brief, a "good" data set cannot play its due role if it is processed after the "bad" ones because the trail distribution has already been corrupted by early imputations.

Walski (1983b) states that an average difference of ± 1.5 m with a maximum value of ± 5.0 m for a good data set and the corresponding values of ± 3.0 m and ± 10 m for a poor data set would be a reasonable target.

The genotypes of a genome wide SNP panel provide a good data set to infer a phylogenetic structure for this panel of inbred strains.

This plot shows that it actually makes sense to use a robust approach since the standard approach would incorrectly classify several outlier as good data set.

With many screened crystals (60 70) in total and all randomly oriented), we were able to collect several full data sets with good mosaicity and completeness.

Video detectors like Matroid, security systems like Lighthouse and even autonomous cars benefit from an understanding of what's going on inside a video, and that understanding is borne on the back of good labeled data sets for training and benchmarking.