Testing this model on a test set of 421 individuals resulted in an area under the receiver operating characteristic curve (AUC) of 0.67 (see 'Full model' in Fig. 3).
3. Compare model accuracy on test data across generated populations of models.
However, few studies have compared the effects of real visual and model visual on test performance.
A modified analytical model based on test result calibration for the calculation of sectional properties is proposed for design reference.
The confusion matrix describes the performance of our classification model on the test set.
Table 1 Confusion matrix of the mutagenicity integrated model on the test set (837 chemical compounds).
To verify our numerical results with real data, we also implement the available connectivity measurement model on our test bed.
The performance of the Set A PLS model on the test set was much worse on average than using this single parameter.
The results of running the proposed model on the test problems show that the proposed intensive scheme is able to coordinate SC.
We then fit the demographic model and the full model on the test sample.
Then, evaluate the performance of this model on the test set.
