Sentence examples for models had poor from inspiring English sources

Some results showed good agreement with the data, whereas other models had poor predictive capabilities.

Taking the acute rodent toxicity as an example, Enslein et al.[3, 4] developed multiple linear regression (MLR) models based on noncongeneric datasets, and found that the models had poor prediction power.

Only 0.8% of exons in our gene models had poor support compared to 2.8% of exons in the in ab initio gene prediction set.

However, both models had poor tumor sensitivity to UCN-01 at doses of 4.5 and 6.67 mg/kg (data not shown).

In addition, although not presented here, insurance status and perceived need for treatment were also included in the model, separately and combined however the models had poor fit indicating the reported APC model was a more appropriate one.

Despite being based on large and diverse training sets, both QSAR models had poor accuracy for chemicals within the domain of low confidence, whereas good accuracy was obtained for those within the domain of high confidence.

All models had poorer performance at SOC concentrations above 2.0%, indicating a saturation effect.

In this year's survey, several of Ford's EcoBoost turbocharged V-6 models have poor predicted reliability ratings as well.

However, these models have poor accuracy, require many parameters to estimate, and demand excessive computational effort.

Tomita (1959), Thomas (1960), and Garica and Steffe (1986) models have poor fits as each has R 2 value less than 0.50.

In patients with AECOPD admitted to our ICU for further treatment the known prediction models have poor discriminative capacity in predicting in hospital as well as 180- day mortality.