Sentence examples for maximum classification accuracy from inspiring English sources

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

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

For parameter optimization of SVM classifier, f ( x → ) could be minimum classification error or maximum classification accuracy.

Subsequently, the feature vector-classifier combination that results in the maximum classification accuracy was used to predict the class of a new on-line test thyroid ultrasound image.

Hence, the target of classification system design is gradually shifting from seeking a system with the maximum classification accuracy to obtain a system with the maximum AUC/MAUC.

The objective of the work is to achieve maximum classification accuracy while detecting intrusions by classifying NSL-KDD network traffic data either 'normal' or 'anomaly'anomaly

Maximum classification accuracies of 83.09%, 90.27%, 80.75% and 92.27% were achieved on Hjorth Parameters as features using Bagging Ensemble classifier while tracking four different sequences.

As a result, maximum classification accuracies are 90.5%, 92.1%, and 97.2% when PCA + LDP + SVM, LDA + LDP + SVM, and proposed algorithm, respectively.

All 3 models could predict concepts significantly above chance (50%) from 50 ms lasting until 600 ms (all qs < 0.05 FDR, Wilcoxon signed-rank tests), with an initial maximum in classification accuracy between 70 and 160 ms and a maximum 85% accuracy (HMaxC1-only: 83%, 110 ms; HMax: 85%, 120 ms; HMax + SemFeat: 84%, 110 ms; Fig. 3).

The maximum overall classification accuracy with K-Means comes to be 53.26% whereas overall classification accuracy with proposed algorithm is 66.16% for TPSAM and 61.26% for 2DVM.

Reaching the maximum amount, the classification accuracies initiate to reduce up to the SVM results.