Sentence examples for poor model with from inspiring English sources

For the different model qualities (a poor model with λ = 1 or a good model with λ = 20) and different cutoff values (χ = 1 or 10%), there is a significant dependency for the REF, PRE and ACC metrics on the R a value.

All metrics are model quality dependent, but the ROCE, EF, REF, MCC, CKC, SEN and PRE show an approximate tenfold increase when moving from a poor model with quality λ = 2 to a good model with quality λ = 40, while in the case of the PM metric a doubling of the parameter value is observed (going from PM = 0.5 for a poor model to a value of 0.98 for a good model; Table 1).

Users of Version 1, in about half the cases, selected poor models with high forecast error.

Some datasets were poorly predicted, especially the two datasets 2326 and 485290 produced poor models with very low efficiency (0.395 and 0.51 respectively), likely due to the extreme imbalance in the ratio of active to inactive compounds, 0.37 and 0.28%, respectively (Table 2), in the training data.

Our analysis supports a hydrogen-rich atmosphere with a cloud or haze layer, although a hydrogen-poor model with 10% water is not ruled out.

Additionally, all multivariate regressions showed a poor model fit, with likelihood-based pseudo R-square values ranging from 0.01 to 0.05, with most falling near 0.02.

When comparing 12-km and 4-km grid resolutions for the PX simulation in CMAQ statistics analysis, the CMAQ results at 12-km grid resolution consistently show under predictions of 8-h O3 at both of valley and mountain areas and particularly, it shows relatively poor model performance with a 15.1% of NMB (Normalized Mean Bias).

(The method exhibited less-than-ideal performance in our simulation study, likely due to poor model fit with the simulated error structures).

Thus, the full model with all four predictors was associated with a poor model fit but we have shown it here only because it permitted us to study the effects of CBL adjusted for other potential confounders.

The extremely rare occurrence of competition was associated with poor model performance for this concept.

Although used extensively in clinical medicine to compare new generic drugs with brand-name drugs, equivalence limits are shown to be a poor model for comparing transgenic crops with an array of reference crop varieties.