However, confidence scores for individual binding sites can be assessed by a standardized statistical analysis to allow a higher classification of strength of evidence for a subset of the data.
Graduate entry programmes encourage applicants who hold a higher classification of degree, and match a set of criteria determined by the institution, to study to become a healthcare professional.
The QUWI database which includes writer demographics information has been employed for gender classification in a number of recent studies and a highest classification rate of 69.25 % is realized [150].
Through the comparison of the results of the SVM and BP classification models, the SME credit risk assessment based on SVM from the perspective of SCF results in a high classification accuracy of 93.65 %, which is significantly higher than the classification accuracy of 55.56 % of the BP neural network.
Canonical analysis of principal components (CAP) of all roving herbivorous fish yielded a high classification success of 93.1% across all habitat types (i.e. only 6.9% misclassification error).
However, the rest of the classes presents a high classification error with GMMs (as we knew from the results presented in the Albayzin evaluation).
In this approach, as illustrated in Figure 1, the optimal HRV EEG feature subsets were selected using the filter-based selection method described in [48] where it has been shown to be able to significantly reduce the number of features while maintaining a high classification performance.
We reported that when using the training dataset consisting of an equal number of two prognosis groups, it achieved a high classification performance in comparison to the training dataset that consisted of an unequal ratio of the two prognosis groups.
The evaluation of our algorithm, called integrated prognosis risk estimation (IPRE), and the experimental comparisons with other prognosis based classifiers demonstrated that the IPRE algorithm outperforms other classifiers by achieving a high classification accuracy of 82% (with specificity of 88% and 877% (with specificity of 95%) in the Desmedt [ 22] and the Vijver [ 3] datasets, respectively.
To yield a high classification performance of the proposed TRS-based classifier, a genetic-algorithm-based learning algorithm was designed to determine parameter specifications of the proposed classifier.
