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Top-1 accuracy (%) for models with different K on CIFAR10 and CIFAR100.

Figshare2023-02-23 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Top-1_accuracy_for_models_with_different_i_K_i_on_CIFAR10_and_CIFAR100_/22150241 数据链接链接失效反馈

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Top-1 accuracy (%) for models with different K on CIFAR10 and CIFAR100.

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创建时间：

2023-02-23

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Class-specific producer’s accuracies (PA), user’s accuracies (UA), and overall accuracies (OA) (%) for the different classifiers (Manas, training sample number = 4,000).

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Class-specific producer’s accuracies (PA), user’s accuracies (UA), and overall accuracies (OA) (%) for the different classifiers (Manas, training sample number = 4,000).

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Additional file 1: Table S1. Comparison of accuracy and computational performance. Table S2. Comparison of Kraken 2 with other classifiers, using various parameter values. Table S3. Genomes excluded i

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The Cost-Effectiveness of Reclassification Sampling for Prevalence Estimation

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Leave-one-out cross-validation results.

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Recall, precision, and f-measure are calculated for each class. Weighted f-measure, fW, and average accuracy, Acc, are calculated for all classes of a problem. All assessments are based on leave-one-o

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Top-1 accuracy (%) for models with different K on CIFAR10 and CIFAR100.

资源简介：

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