The phrase "average classification accuracy" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or statistics when discussing the performance of a classification model.
Example: "The model achieved an average classification accuracy of 85% across all test datasets."
Alternatives: "mean classification accuracy" or "typical classification accuracy".
(d) The average classification accuracy of movement types using the z-scored MEG sensor signals (mean and 95% confidence interval).
The average classification accuracy of web break cases was equal to 76.7%.
Average classification accuracy of 93.0% is achieved using a deep LSTM architecture.
The average classification accuracy achieved during offline training and online testing over eight subjects are 86.45% and 78.44%, respectively.
The average classification accuracy using the augmented training data by image rotation and intensity transformation was 88.8%.
The highest demonstrated average classification accuracy concerned bagged trees (56.76%), with the maximum accuracy level of 76.54%.
To optimize the hyperparameters and the time window, training data sets were classified by 10-fold cross-validation 10 times, and the parameters with the highest average classification accuracy of the repeated cross-validations were selected.
Experimental results show that the proposed classifier demonstrates better performance than other classifiers and yielded the highest average classification accuracy of 99%.
It has been observed that the proposed rule miner outperforms several well-known algorithms in terms of average classification accuracy and average sensitivity.
In contrast, the LIDAR classification schedules led to an average classification accuracy of 64.8% and 52.3%, respectively, for the general and detailed vegetation data.
The experimental results show that the average classification accuracy of object-directed scenarios is much better than that of non-object-directed scenarios (76.87% vs. 69.66%).
