官方服务:
资源简介:
Trained model to predict the kidney dataset
为预测肾脏数据集而训练的模型
应用场景:
创建时间:
2020-09-24
相关数据集
Supplementary_File_2.tar.gz
This package includes the dataset feature files and python script for the model exploration and validation of sgDesigner.
DataCite Commons2020-07-14 更新150
reyhanehrhp7/Jigsaw_partB_language_head
该数据集包含两个特征:提示(prompt)和完成(completion),均为字符串类型。数据集分为训练集、验证集和测试集三个部分,其中训练集包含1623个示例,验证集和测试集各包含203个示例。数据集的总大小为614308字节,下载大小为271617字节。
Hugging Face2025-10-17 更新60
vdaita/gsm8k_mini_gemma_answer_2_train
--- dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: id dtype: int64 - name: initial_answer dtype: string splits: - name: train
Hugging Face2024-05-27 更新50
FluvDepoSet
FluvDepoSet is a data set of 3D models of sedimentary deposits from single-threaded, sand-bedded meandering rivers. It aims at providing a training and testing data set for machine learning applicatio
Mendeley Data2024-03-27 更新70
Data_Sheet_1_Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.docx
Background: Individuals with major depressive disorder (MDD) vary in their response to antidepressants. However, identifying objective biomarkers, prior to or early in the course of treatment that can
NIAID Data Ecosystem50



