Sentence examples for better the classification performance from inspiring English sources

The higher the resolution, the better the classification performance, but the higher the processing time.

Additionally, the smaller the relative absolute error is, the better the classification performance of the feature extraction algorithm is.

It is also observed that larger the degree of variation between the nature of two mental tasks, better the classification performance.

The mean absolute error and root mean squared error are used to measure the difference between the predicted value of the classifier and the actual result and the smaller the value the better the classification performance; so, it is apparent that the KPCA is superior to PCA.

The more accurate each base classifier and the more diverse different base classifiers, the better the classification performance of the ensemble learning.

This performance is better than the classification performance by using all miRNAs in data set 2. Although the specificity decreases, the cost in real-life diagnostic would be lower using the just 3 miRNAs, because the cost of misclassifying 'normal' as 'cancer' is much smaller than misclassifying 'cancer' as 'normal'normal

In this scenario, this paper proposes and then evaluates a method to normalize and expand original short and messy text messages in order to acquire better attributes and enhance the classification performance.

Finally, the experimental results show that our proposal QER method is language, domain and classifier independent and improve the classification performance better than other FS methods for sentiment analysis.

This provides evidence that TSHDTP had a significant contribution towards the better classification performance and suggests that TSHDTP captured more patterns associated with stress than VSLBP-TOP and TSLBP-TOP.

Unlike distance vector, it eliminates the need to calculate the distance for each class, therefore it can speed up the calculation and achieve better classification performance by ignoring the disturbance from the distant classes.

To enhance the difference between the target and noise measurements and to pursue better classification performance, the measurements need to be denoised.