Sentence examples for most predictive data from inspiring English sources

Some of AngelList's most predictive data has to be which investors have committed to participating in a particular round.

The GPS network is the most durable and wide-ranging of the three systems, while the tiltmeters provide the most sensitive predictive data, but are prone to erroneous results unrelated to actual ground deformation; nonetheless a survey line across the caldera measured a 76 mm increase in its width over the year preceding the 1975 eruption, and a similar increase in 1984 eruption.

On the other hand, incident cases which were actually prevalent were also the main cause of false positive cases in the most predictive algorithm (data ranged from 66.7% of false cases in MD to 82.1% in BD).

I don't trust most of the predictive data that exists surrounding headset sales, so I'm not even going to reference it; suffice to say that AR headset sales aren't going to explode anytime soon.

Doing so changed the compositions of the 20-case early death and long survival groups with the consequence that immune system genes were less prevalent in the most predictive gene set (data not shown).

However, our results also demonstrate that the methods identified different features of the data and argue for the application of multiple methods in future studies when the most predictive features of the data are not known in advance.

Similar phenomenon was also observed in a recent comparison study by Costello et al., who concluded that gene expression data provides the most predictive power for any individual profiling data set [ 29].

The general computational approach of Stochastic Gradient Boosting (SGB) is seen as one of the most powerful methods in predictive data mining.

The results show that the performance of functional networks (separable and generalized associativity) architecture with polynomial basis is accurate, reliable, and outperforms most of the existing predictive data mining modeling approaches.

Most predictive modelling approaches have used administrative data from claims in the USA or hospital data from hospital episode statistics or secondary uses services (SUS) in England.

VP of Marketing Craig Fiebig tells me these are industries which are most interested and active in utilizing predictive data analytics.