Classification performance for 100 principal components.
收藏Figshare2023-03-27 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Classification_performance_for_100_principal_components_/22343450
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资源简介：
Classifier accuracy (number of classifications and percentage of true classifications assigned to that class) for SVMs trained on the first 100 principal components, based on 431 manually labelled simulations at t = 500 with parameters randomly sampled within a 6-parameter space. Bold fields show correct classifications.
创建时间：
2023-03-27
