Sentence examples for models is weak from inspiring English sources

However, to date, the performance of fall risk models is weak compared with models estimating, for example, cardiovascular risk.

Each of these lasso models is weak in model selection as it suffers from the model selection inconsistency of the lasso.

In all regression models except for "Energy" and "Emotional Reaction", Durbin-Watson statistics were in an acceptable range between 1.6 ("Social Isolation") and 2.09 ("Sleep"), However the explanatory power of the regression models is weak: Only between 2% and 7% of the variation in the domains of HRQOL can be explained by age, gender and CDS.

However, according to AIC all other models are weak (zero values for Akaike weights) and should not be considered, a result that could not be attained using R 2 values alone.

They also concurred that the data on mouse models are weak, primarily due to their marginal/questionable significance (see detailed comments below).

Multicollinearity analysis showed that, with the exception of the correlation between admission diagnostic categories and length of ICU stay (0.47), all other correlations between the independent variables and coefficient estimates included in the regression models were weak (below 0.30).

Multicollinearity analysis showed that, with the exception of the correlation between admission diagnostic categories and length of ICU stay (0.47), all other correlations between the independent variables and coefficient estimates included in the five regression models were weak (below 0.30; data not shown).

"The Iranian model is weak government, geographical areas of complete control by pro-Iranian forces that would guarantee a territorial passage from Iraq to Lebanon.

Despite its successful application, existing FM model is weak to utilize hierarchical information.

Reducing the required number of features to a small amount through feature selection enables to understand better why a steganographic model is weak on these particular details, highlighted by the selected features.

For long-baseline network RTK, there are still some problems faced, for instance the WL AR still needs to take over tens of epochs due to the influence of pseudorange noises and multipath effects; the NL AR model is weak since more parameters are introduced, thus much time is needed to guarantee the precision of float ambiguity solutions.