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Exact(5)

Every model predicted with almost more than 84% specificity.

The developed model predicted with average 6.38% error and model accuracy is recorded as 93.62%.

In comparison to test results, the model predicted with a precision of 5% contact time, impact force, maximum displacement, perforation energy, and impact velocity.

The calibrated model predicted, with current screening practices and in the absence of vaccination, an annual number of 104,852 cases of HPV6/11 related genital warts in both males and females (target: 95,119 to 116,257); 4,507 cases of HPV16/18 related cervical cancer (target: 3,751 to 4,585) and 1,101 cervical cancer deaths (target: 1,023 to 1,251) (Table 4).

The trained model predicted with 90% accuracy the apoptotic responses from the test data with new experimental conditions (perturbations that partially blocked the apoptosis signaling pathway), and found major principle components of molecular signals that contribute most to correct predictions.

Similar(55)

Our model predicts with <10% error deviation from measured numbers in all tested cases.

The proposed failure mode model predicts with accuracy the failure mechanisms.

It is demonstrated that the analytical model predicts with good accuracy the shear strength of RC beams strengthened with HCPs.

The model predicts, with good accuracy, the growth of hydrocarbons and the formation of benzene and aromatic species.

We show that the model predicts with great accuracy the tension compression asymmetry and the evolving anisotropy of the material.

The model predicts, with a good level of accuracy, the growth of hydrocarbons and the formation of benzene and aromatic species.

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