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Exact(45)
At 512 msec, the classification method achieves the best classification accuracy.
It provides the best classification accuracy (95.3% of accuracy) in comparison with others.
Genetic algorithm is used to get the best classification accuracy of AdaBoostSVM.
Of all datasets examined, the laptop dataset showed the best classification accuracy (98.86%).
The best classification accuracy of MLPNN was obtained as 90% (specificity: 100% and sensitivity: 83.3%) for participant 7. On the other part, the best classification accuracy of kNN was obtained as 85% for participant 12 and 20.
In order to acquire the best classification accuracy, appropriate value of k was determined as different for each participant.
Similar(15)
In terms of overall system performance (the decision tree's node propagating error taken into account), best classification accuracies were 89.5%, 79.6% and 82.7% for the recognition of normal, infectious and cancer cases, respectively.
MFS combined with Naive Bayes and Sequential minimal optimisation (SMO for training of support vector machine) provided the best classification accuracies and TP (true positive) and F-measure resulted in a higher performance as compare to experimental setups based on state of the art feature selection techniques combined with machine learning classifiers.
GP's best model resulted in 0.93% better classification accuracy by reducing the dimension n of the feature space from 256 to 15.
Even the HF and LF gives the best performance of classification accuracy [7], which is approximately 88.33 and 79.27 %, respectively, but this classification accuracy is still not good enough to achieve better classification accuracy rate over 90%[11]1].
Another set of GAs were used to search for the combination of classifiers that would result in the best classification ensemble accuracy.
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