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The phrase "accuracy of the classification" is correct and usable in written English.
It can be used when discussing the precision or correctness of a classification system or method in various contexts, such as data analysis, machine learning, or research.
Example: "The accuracy of the classification was evaluated using a confusion matrix to determine how well the model performed."
Alternatives: "precision of the classification" or "correctness of the classification".
Exact(60)
The presence of these two prominent descriptors accounts for the high accuracy of the classification model.
The accuracy of the classification was assessed by comparison with manual classification.
The effectiveness of the models is evaluated by comparing the performance and accuracy of the classification.
The fusion of optical and microwave data, whenever available, has been very useful for increasing the accuracy of the classification.
This approach also showed that improvements in the precision of parameters do not necessarily increase the accuracy of the classification.
Using SVM classifier, the percentage accuracy of the classification archived rate of 88.7304% while 88.3024% using the Naïve Bayes (NB).
The accuracy of the classification function was 100%, with all the modern faeces of guanaco and huemul correctly classified.
Also, the accuracy of the classification is 90%%.
In general the selection of feature vectors greatly affects the accuracy of the classification.
An error matrix was established to evaluate the accuracy of the classification.
If malicious classes are detected, decisions are done depending on the accuracy of the classification.
More suggestions(15)
adequacy of the classification
correctness of the classification
appropriateness of the classification
accuracy of the nomenclature
accuracy of the category
accuracy of the grading
accuracy of the rating
accuracy of the categories
accuracy of the classes
accuracy of the ordering
accuracy of the classifications
accuracy of the state
accuracy of the algorithm
accuracy of the judgment
accuracy of the test
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com