Inclusion of these SNPs and combinations in these analyses may strengthen the predictive abilities of new prediction models.
Based on the visual comparison, no substantial difference appears to be observed among the predictive abilities of the proposed models, and the predicted results for EC are just as good as those by MLR as shown in Fig. 4.
To quantify the improvement in the predictive abilities of the S-TPI, we tested its predictions for mRS ≤ 2 using the SITS-UK dataset.
The predictive abilities of both models were compared using separate validation datasets.
The predictive abilities of these models were validated by some compounds that were not included in the training set.
By comparing numerical results with experimental results, the predictive abilities of the computational model have been revealed.
The predictive abilities of the two models were further validated by a test set of 15 compounds.
Hadasch, S., Simko, I., Hayes, R. J., Ogutu, J. O. & Piepho, H.-P. Comparing the predictive abilities of phenotypic and marker-assisted selection methods in a biparental lettuce population.
Satisfactory results indicated that the simulative and the predictive abilities for the internal and external samples of QSAM by SVM were better than those of PLS.
The predictive abilities of the CoMFA and CoMSIA models were also evaluated using test compounds which gave r2pred values of 0.735 and 0.557, respectively.
We compared the predictive abilities of EANNs in which the following kinds of training algorithms were used: linear, radial basis function, general regression (GR), and multilayer perceptron.
