Sentence examples for multiple predictive features from inspiring English sources

Whether the combination of multiple predictive features can improve prediction capability for defibrillation outcome compared to the single features is still uncertain.

This is because individuals concerned about their mutation status often have multiple predictive features.

As combining multiple predictive features may offer complementary information to improve the predictive accuracy [ 16], several studies have been attempted to combine different VF features to enhance the predictive performance using the machine learning theory, albeit in relatively small populations [ 25, 25].

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.

ML based forecasting models can accommodate different configurations of predictive features, integrate multi-modal variables, assign context-driven weights to putative predictors and identify multiple sets of variables that exhaust the predictive power of available features [ 20- 22].

Combined, these results are consistent with the highly predictive features identified based on F-scores and suggest that the observed sequence bias for histone modification exists at multiple levels.

Multiple predictive factors for operative intervention were identified.

τ = 12hr, accuracy = 84%, most predictive features: 1).

#posts; τ = 24hr, accuracy = 92%, most predictive features: 1).

In addition, to determine the most predictive features, we rank the features using Chi-square feature selection.

More importantly, though, it also includes some predictive features that prevent issues in the first place.