Sentence examples for a minimum prediction from inspiring English sources

The number of components was determined by cross-validation to have a minimum prediction error.

An 8-locus model had a minimum prediction error of 32.6%.

The model had a minimum prediction error of 26.1 and a cross-validation consistency of 100%.

The model had a minimum prediction error of 26.8 and a maximum cross-validation consistency of 100%.

The model had a minimum prediction error of 40.9 and a maximum cross-validation consistency of 50% in allergic asthma in women (Pmin⁡ = 0.001).

Intriguingly, the five-factor model had a maximum CVC (100%) and a minimum prediction error (38.6%), which showed a better prediction than one factor (Table 3).

Then, considering minimum prediction error, an optimal artificial neural network was designed to predict the relative viscosity of the nano-lubricant.

It is, however, possible to achieve the minimum prediction error for a range of Δs.

Next, classification and regression trees (CART) [ 19] were composed that divided the sample in subgroups as homogeneous as possible with regard to the outcome by selecting the most predictive variables based on minimum prediction error.

More importantly, we achieve a minimum gender prediction accuracy of 74% compared to their 65%, without harnessing the inherent homophily in the network, since features designed based on homophily would require obtaining the true label of a large portion of the full communication network, a costly process as mentioned for [43].

An important reason is that, due to the fact that p ≫ n, there are a multitude of different prediction equations that yield about the same likelihood and minimum prediction error rate (Breiman 2001): often we encounter multiple equally-good models.