该数据集是通过Distilabel工具生成的，包含一个`pipeline.yaml`文件，可以用于在Distilabel中重现生成数据集的流程。数据集的示例结构包括`answer`、`completion`、`conversation`、`deita_score`等字段，其中`conversation`字段包含用户和助手之间的对话内容。

Hugging Face2024-03-27 更新110

The mean and standard deviation TPR for the anomaly detection algorithms.

异常检测算法

算法基准测试

The results represent experiments on four datasets based on 20 simulated experiments. The proposed method (NewAlgo) produces the best overall results.

Figshare2021-08-04 更新30

Accuracy, specificity and sensitivity obtained by the Neural Network (NN), Logistic Regression (LR), Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms, for each of the four clinical stages.

临床诊断模型

机器学习性能比较

Accuracy, specificity and sensitivity obtained by the Neural Network (NN), Logistic Regression (LR), Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms, for each of the four clinica

NIAID Data Ecosystem20

The mean TPR for the anomaly detection algorithms.

资源简介：

The mean TPR for the anomaly detection algorithms.

资源简介：

相关数据集