The phrase "achieved classification" is correct and usable in written English.
It can be used in contexts where a certain level of classification or categorization has been reached or obtained, often in academic, scientific, or organizational settings.
Example: "The research project successfully achieved classification as a leading study in its field."
Alternatives: "attained classification" or "secured classification".
With this approach, the achieved classification results are satisfactory.
We have achieved classification accuracy of up to 97% for differential diagnosis of PD with confidence interval of 99.9%.
The achieved classification performance was 100%, 93.75% and 90.63% in the training, validation and testing set, respectively.
For this case study, the proposed DSS achieved classification accuracies in a range from 76.1%to93.5%5% for different scenarios.
This study achieved classification accuracy of 95.1 ± 1.9%% using SVM classifier with features of time and frequency domains for five voluntary tongue motions and saliva swallowing.
Our method achieved classification rates of 99.04% and 98.30% on the Kondate (written in Japanese) and IAMonDo (written in English) heterogeneous document databases.
Experimental results showed that a reduced number of features can achieve classification accuracy superior than that using the full set of features.
The results show that a reduced number of features can achieve classification accuracy superior to that using the full set of features.
LSFT enhanced the performance of the PNN, achieving classification accuracies of 95.24% for discriminating between metastatic and primary tumors and 93.48% for distinguishing gliomas from meningiomas.
NIR was used to achieve classification between 43 differently pretreated corn bran samples using principal component analysis (PCA) and hierarchal clustering algorithms.
AODE achieves classification by averaging over all of a small space of alternative Naïve-Bayes-like models that have weaker independence assumptions than NB [22].
