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Performance of four models with two class balancing methods.
Performance of four models with two class balancing methods.
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Figshare
2023-08-24 更新
2026-04-28 收录
类别不平衡
分类模型评估
数据链接：
https://figshare.com/articles/dataset/Performance_of_four_models_with_two_class_balancing_methods_/24027863
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资源简介：
Performance of four models with two class balancing methods.
应用场景：
创建时间：
2023-08-24
相关数据集
Breast cancer - Cancer & Non cancer classification
乳腺癌分类
类别不平衡
Binary classification/Class Imbalance
kaggle
2020-12-24 更新
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Evaluation metrics for each classifier with set of previous work’s most important parameters combined with “plans to abandon”.
分类模型评估
Evaluation metrics for each classifier with set of previous work’s most important parameters combined with “plans to abandon”.
NIAID Data Ecosystem
2
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Classification confusion for improved state predictions.
分类模型评估
状态预测算法比较
The table compares the results for predicted improved states to their actual ground truth state assignment for RNN, KNN, RF and LR.
Figshare
2018-09-04 更新
2
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Machine learning model performance in identifying patients with PASC (MIS-C or non-MIS-C variants).
新冠后遗症诊断
分类模型评估
The table displays several performance metrics for each of the three outcomes (PASC (any), non MIS-C PASC, and MIS-C). Accuracy, F1 score, precision, and recall were all computed at the p = 0.5 thresh
Figshare
2023-08-10 更新
3
0
Sensitivity, specificity, accuracy and Youden’s index of the two decision trees.
分类模型评估
决策树性能验证
Sensitivity, specificity, accuracy and Youden’s index of the two decision trees.
NIAID Data Ecosystem
2
0
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