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However, these models have poor accuracy, require many parameters to estimate, and demand excessive computational effort.
In this year's survey, several of Ford's EcoBoost turbocharged V-6 models have poor predicted reliability ratings as well.
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.
Coyle and Keyzer (2016) argue that the cancellation regime's focus on risk assessment is 'akin to using a sledgehammer to crack a nut', drawing on scientific research that suggests that risk models have poor predictive capacity when applied to individuals (p. 88).
Although the stratification of risk scores using these instruments is associated with clinically meaningful gradients of adverse outcomes [ 4], most risk prediction models have poor predictive ability [ 4].
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In vitro study with soft models have poorer accuracies (19%%) [ 21].
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.
However, both models had poor tumor sensitivity to UCN-01 at doses of 4.5 and 6.67 mg/kg (data not shown).
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.
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