Sentence examples for by each feature set from inspiring English sources

Case 1 (Normal versus PDAC) Table 8 and Figure 10 show the bootstrap evaluation of classifier learned by each feature set, for distinguishing between the Normal and PDAC.

Subsequently, ROC (receiver-operating characteristic) analysis with regard to classifiers learned by each feature set was performed.

Common feature sets have been selected according to the following rule: take the first common ten features (in the order ranked by the Forward algorithm) to each feature set obtained for each embedding rate (within one algorithm).

The dimension of each feature set is reduced by using perturbation method.

Therefore, the classification performance for each feature set is measured by averaging evaluation results of individually optimized classifiers for 10 training sets and 10 testing data sets.

A classifier is trained by the feature set from large number of stego and cover images.

It shows that 81%% accuracy is achieved by MLPTPL feature set using AdaBoost.M2 model.

We present the comparison between the classification results obtained by a feature set composed by 147 features and a reduced set based on the first 20-ranked features using mRMR scores.

The results confirm that the classification accuracy obtained by Minimax-MIFX is higher than that achieved by existing feature extraction methods and by full feature set.

We assume that cell images are characterized by a feature set extracted from the images and can be considered as a data point in the feature space.

We first obtain the results using user behavior features and then incrementally evaluate the performance of the model by extending the feature set with features from social interaction.