Sentence examples for classification times from inspiring English sources

Furthermore, both training and classification times are approximately eight times faster on all folds.

The paper investigates the minimum learning and classification times that are required to achieve a desired identification performance.

Chen et al. [40] show that classification times can be sometimes be reduced in half when using SVM and C4.5 feature selection techniques on the KDD datasets, and they also evaluate Random Forest (RF) as a feature selection technique but they do not provide classification times for all the features of RF to compare its performance of classification times.

Katusha's Haller successfully sprinted to victory in the final stage but due to the rainy conditions, organisers opted to take general classification times with one lap to go.

The classification times reflect the time required to classify the number of records reflected in the "Classified" column which represent 10% of the training data for each fold.

Meanwhile, Table 8 shows the learning and classification times for a set of 600 and 400 images, respectively, for each system.

The ensemble has constant classification time upperbound and according to empirical results, it shows good classification accuracy.

Simulation results show that the NNTree achieves excellent performance in terms of classification accuracy, size of the tree, and classification time.

The proposed algorithm was evaluated on three diverse datasets, namely TPCH, PKDD and UCI benchmarks and showed considerable reduction in classification time without any loss of prediction accuracy.

We used linear support vector machines to decode letter identity from MEG data and found that the classification time course of letter recognition in sighted subjects was generally faster, briefer, and more consistent than in blind subjects.

Experimental results over several real-world data sets demonstrate that the proposed MI-ELM method significantly outperforms existing kernel methods for MI classification in terms of the classification accuracy and the classification time.