Sentence examples for maximum classification from inspiring English sources

The outcome confirms that the maximum classification accuracy (99.28%) is achieved for this study.

The iteration in which maximum classification performance occurs is considered as optimum iteration.

The proposed algorithm has a maximum classification rate of 100% on tested videos.

The optimum parameters are chosen when the maximum classification rate is achieved on a validation set.

They achieved maximum classification accuracy of 83.26 and 75.21% using kNN and linear discriminant analysis (LDA) algorithm, respectively.

The plot indicates that the maximum classification rate is obtained with a window length of 4.7 seconds.

Classification accuracy as a result of maximum likelihood classification resulted in an overall accuracy of 87 and 89 % and KHAT accuracy of 85 and 87%% in 1998 and 2010, respectively (Table 2).

Pang and Lee [20] employed three machine learning methods (i.e., naive Bayes, maximum entropy classification, and support vector machine) on sentiment classification for text.

Maximum likelihood classification method has been used for land use/cover classification.

Parametric per-pixel supervised (maximum likelihood) classification methods are used in combination with object-based classification methods to map urban features over New York City.

MLC (maximum likelihood classification) and SVM (support vector machine) are implemented for image classification.