The best number of trees has the minimum error rate and a constant error rate nearby.
Then, we will confirm the number of hidden nodes and which training BP neural network has the minimum error.
b The actual values are displayed by the blue histogram, and simulated values of generalized Weng model which has the minimum error are displayed by the red line and the errors between them are displayed by the green histogram.
The comparison of five models is demonstrated in Fig. 5, where Fig. 5a illustrates the MAE, MAPE, and RMSE of five models with the radar map and Fig. 5b shows the simulated values of the generalized Weng model which has the minimum error and the errors between them.
Regarding to accuracy indexes, specificity and sensitivity, the system had the minimum error for a mixed sample (60% olive oil-40oil-40%a oil), specificity and sensitivity were obtained as 98% and 100%, respectively and accuracy was obtained as 72%, which was the weakest value.
Presumably, this model has the minimum error of all models generated [ 53].
From this dataset we have obtained the minimum error of the classifier in the training and test data, in relation to the value of each feature (attribute evaluation with particle swarm optimization) [55].
Among all its neighbours, the ZC will choose n nodes that have the minimum mean square error (MSE) of the cosα ij to be the cluster heads, as shown in (5): RMSE = ∑ i, j cos α < i, j > − cos 2 π n 2 (5).
This step creates an MDR attribute for the testing set using the n SNPs that have the minimum training classification error rate.
