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The phrase "accuracy dataset" is correct and usable in written English.
It can be used when referring to a collection of data specifically designed to measure or evaluate the accuracy of a model or system.
Example: "To improve our machine learning model, we need to analyze the accuracy dataset to identify areas for enhancement."
Alternatives: "precision dataset" or "correctness dataset".
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Table 4 SVMs overall classification accuracy Dataset ImageNet 10 ImageNet 100 ILSVRC 1000 OCAS 72.07 52.75 LIBLINEAR 75.09 54.07 21.11 Par-MC-SGD Par-MC-SGD Par-MC-SGD 75.33 53.60 21.90s the Bold result.
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Table 3 Image accuracy by dataset.
The accuracy benchmark dataset compiled by Panjkovich & Melo [37] is adopted here for the study.
With this accuracy improved dataset, it is relatively easier to match them with the geospatial data based on their spatial and temporal attributes.
To calculate its accuracy on dataset B, we performed a 10-fold cross-validation of such a classifier with a fixed list of 76 genes.
The results for the simulated datasets show clearly that all the methods produce trees with about the same accuracy on datasets with very dense scaffolds, but differ substantially in terms of accuracy on the datasets with sparser scaffolds.
To calculate their accuracies on dataset D, we trained those classifiers on dataset B and tested on dataset D. To calculate their accuracies on dataset E1 and E2, we performed LOOCV analysis.
For the models, the electric schematics (where applicable), thermal models, accuracy, existing datasets, and sample validation plots are presented.
When we combine all four features together, there is an improvement in accuracy considering datasets Lattes I and Lattes II.
Moreover, there is significant improvement in accuracy considering datasets Lattes 1 and Lattes 2, when all five features are combined.
Clearly this may be an incentive to ensure accuracy of datasets and to reduce deliberate misconduct.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com