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Linear discriminant analysis (LDA) was also utilized to construct the classification model to compare the results with those obtained by PNNs.
When predicting new drugs or ADRs with no prior interaction data, we suggest applying drug features and ADR features to construct the classification model, and then make predictions.
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In the study, Random Forest was used to construct the classification models.
While constructing the classification model, MDR reduces the number of data dimensions to a smaller number, selecting features relevant for classification ranking in the model.
Through optimizing selection, optimal parameters of RBF radial basis kernel function result in c = 512 and gamma = 0.0078125 after filtering, with these as the basic parameters to construct the SVM classification model.
Fig. 7 Fitting fig. of optimization result of parameters of RBF kernel function Through optimizing selection, optimal parameters of RBF radial basis kernel function result in c = 512 and gamma = 0.0078125 after filtering, with these as the basic parameters to construct the SVM classification model. .
Besides SVM, we used 10-fold cross-validation combined with 200 times bootstrapping sampling in constructing and evaluating the classification model.
As shown in Figure 1, constructing the ensemble classification model includes the following 4 steps.
Section 2 describes the features of real/pseudo pre-miRNAs and the process of constructing the ensemble classification model.
The classification model is constructed by using multi-class SVM and Weighted multi-class SVM (WSVM).
In this study, neural network models were constructed that successfully classified the targeted bacteria and the classification model was validated using sensitivity and target transformation factor analysis (TTFA).
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