In order to achieve a good generalization performance, it is essential to find certain optimal hyper-parameters of SVM model.
Only the 2SHA approach has the ability to achieve a higher generalization of the chemotypes which results in an increased retrieval rate over the complete data set.
The performance analysis shows that the SSDAE-RR tends to achieve a better generalization ability on relatively large datasets (large sample size and high dimension) that were not pre-processed for feature abstraction.
Our aim was not to achieve traditional generalizability, by which our sample could be generalized to a wider population [ 37], but rather to achieve an analytical generalization, whereby our results could be generalized to a set of theories [ 34].
Finally experimental results demonstrate that our approach can achieve a significantly improved generalization performance of the RBF networks.
The second unique characteristic of SVM is that it is established on the unique theory of the structural risk minimization principle to estimate a function by minimizing an upper bound of the generalization error and therefore very resistant to the overfitting problem, eventually achieving a high generalization performance.
The proposed method achieved a good generalization capability, classifying the three different attributes with good accuracy.
The FASVFG-based classifier achieves a high generalization accuracy of 94.3555% in validation experiment, and the average Mathews correlation coefficient reaches 0.8858.
This approach achieved a good generalization control, as well as similar or better results than other techniques, but with a lower computational cost, with the ability to generate small networks and with the advantage of the automated architecture selection, which simplify the training process.
It has been proved that the ELM algorithm performs learning at an extremely fast speed and achieves a good generalization performance with activation functions which are infinitely differentiable in hidden layers [ 40, 42, 43].
