Sentence examples for attributes for classification from inspiring English sources

Statistical analysis on seismic attributes together with their geological significance were the main criteria to choose proper seismic attributes for classification.

To conclude, the results show high accuracy of given set of attributes for classification of efficient and not-efficient points for hitchhiking, and the accuracy increases when points have been ranked more than once.

The experimental results confirm the efficiency of the proposed approaches in improving the classification accuracy compared to other wrapper-based algorithms, which insures the ability of WOA algorithm in searching the feature space and selecting the most informative attributes for classification tasks.

The wrapper approach iteratively selects subsets of attributes for classification using either a deterministic or stochastic algorithm.

The attribute at the root node, in particular, is considered the most relevant attribute for classification.

Tolerance rough sets (TRSs) can operate effectively on continuous attributes for pattern classification.

Therefore an extension of the simulation model by using attributes for NYHA classification and tracking the virtual patients was unavoidable [29].

To select the most informative attributes for the classification, we used a combination of feature selection methods (Methods) (Additional file 1: Table S6).

Even only a reduced set of attributes is used for classification, the indiscernibility relations still preserve among the attributes [10].

In the paper, by integrating the concept of RST and relational algebra operations, a new attribute reduction algorithm has been presented to select the minimum set of attributes, called reducts, required for classification of data.

As the dependent extent of radar type to the attribute C (ARR) is 0, the attribute C is unnecessary for classification and removed.