Sentence examples for evaluation of the classification from inspiring English sources

After the feature extraction stage, a k-fold cross validation based leave-one-out validation (LOOCV) technique is used for performance evaluation of the classification methods.

Rigorous evaluation of the classification accuracies shows that the ANN outperforms the other methods and achieves ≈90% accuracy on test data.

The evaluation of the classification accuracy of each method was carried out using a simple k ̌ –NN classifier evaluated following a cross-validation scheme [22].

As opposed to the train dataset, the Stanford test dataset was manually collected and labelled hence it is more appropriate for evaluation of the classification models' performance.

Also, mean square error (MSE), root of mean square error (RMSE), mean absolute error (MAE) and mean percent error (MPE) were used for evaluation of the classification.

An evaluation of the classification accuracy of nine different neural network architectures was done to classify five different kinds of cereal grains namely, Hard Red Spring (HRS) wheat, Canada Western Amber Durum (CWAD) wheat, barley, oats and rye.

For the evaluation of the model we also include a performance evaluation for the classification of drug target pairs into binding or non-binding, using the metrics AUC and AUPR.

Evaluation of the overall classification, the estrogen receptor- ER -positive and Ereceptor- ER -positiveion within moleculareceptor- ER -positivets.

Classification accuracy rate, sensitivity, specificity, as well F-score were computed as quantitative evaluation of the LDA classification.

Several case studies are used for the evaluation of the proposed classification.

In addition to the ROC curve analysis, a one way ANOVA test is also utilised for the performance evaluation of the best classification groups.