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Performance of classification models in predicting preterm birth.
Performance of classification models in predicting preterm birth.
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Figshare
2023-05-11 更新
2026-04-28 收录
早产预测
分类器性能评估
数据链接:
https://figshare.com/articles/dataset/Performance_of_classification_models_in_predicting_preterm_birth_/22803898
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资源简介:
Performance of classification models in predicting preterm birth.
应用场景:
创建时间:
2023-05-11
相关数据集
Preterm prediction data set
早产预测
信号分析
Preterm and non_preterm feature from signals of EGH
kaggle
2023-02-08 更新
11
0
Classification errors and computational costs (CCs) of MHC and the proposed method with the optimized parameters.
分类器性能评估
计算成本分析
Classification errors include type I error (T.I), type II error (T.II), total error (T.E) and kappa (κ).
Figshare
2017-05-03 更新
6
0
Classification accuracies of adjectives and adverb types with classifiers.
词性分类
分类器性能评估
Classification accuracies of adjectives and adverb types with classifiers.
Figshare
2024-05-01 更新
2
0
AUC values for the three methods evaluated on MHCBN-SRDS2 datasets.
MHC-肽结合预测
分类器性能评估
For each dataset, the rank of each classifier is shown in parentheses.
Figshare
2015-12-02 更新
10
0
Per-class performance of the InceptionV3 model.
分类器性能评估
模型细粒度诊断
Per-class performance of the InceptionV3 model.
NIAID Data Ecosystem
6
0
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