Sentence examples for the external test from inspiring English sources

Test set 2 is the external test set that contains 173 compounds and was previously compiled by Zaretzkiet et al. [16].

The concordance of the external test set II with 446 marketed drugs was 90.9 ± 0.3%.

Furthermore, the developed model also possesses promising predictive ability as discerned by the testing on the external test set.

The performance of the stepwise and PLS models was tested by cross-validation and the external test set prediction.

The naïve Bayes classifier gave an average overall prediction accuracy of 90 ± 0.8% for the training set and 68 ± 1.9% for the external test set.

Two test procedures were applied for the model performance assessment: standard 10-fold cross validation procedure and validation based on the external test set containing 45 records describing.

As a result, we obtained 3D-QSAR model which provided good predictivity for both the training set (q2 = 0.846, r2 = 0.975) and the external test set (rpred2= 0.980).

The best resulted model is a six-variable multilinear model with the average absolute error for the external test set being 5.7 °C.

The resulted squared correlation coefficient R2 of the model was 0.995 for the training set of 1322 compounds, and 0.996 for the external test set of 328 compounds, respectively.

The best model was obtained with support vector machine approach and has Matthews Correlation Coefficient of 0.82 for the external test set, which was further employed for the virtual screening of Maybridge small compound database.

The best QSAR model developed had a good predictive correlation coefficient (r2) of 0.8319, a significant cross-validated correlation coefficient (q2) of 0.7550, and an r2 for the external test set (pred_r2) of 0.7983.