官方服务:
资源简介:
本次比赛有两个任务,分别对移动设备(device_id)进行性别和年龄的预测,这里包含二分类和回归两个问题,最终会将两个部分的分数结合起来进行排名。
应用场景:
提供机构:
三杯猫创建时间:
2021-08-18
相关数据集
Freesound-Audio-Tagging-2019-ebouteillon-solution
Eric Bouteillon solution to Freesound-Audio-Tagging-2019
kaggle2019-06-20 更新90
MOESM3 of Classifying publications from the clinical and translational science award program along the translational research spectrum: a machine learning approach
Additional file 3. External validation: For each of 300 PMIDs (top 100 scored from each classifier), the file lists the classifier for which it received a top score, the classification given by the tw
DataCite Commons2024-12-17 更新50
Table_2_Monitoring of Nitrification in Chloraminated Drinking Water Distribution Systems With Microbiome Bioindicators Using Supervised Machine Learning.PDF
Many drinking water utilities in the United States using chloramine as disinfectant treatment in their drinking water distribution systems (DWDS) have experienced nitrification episodes, which detrime
NIAID Data Ecosystem40
DrivenIQ's Web Activity Data | USA |5B records |Interests, Demographics |Email MAIDs HEMs IP Address | Cookieless
Businesses, researchers, and developers often seek out web activity datasets and databases to: Understand consumer behavior. Train machine learning models. Perform market research or competitor analys
Datarade60
Table_1_Prediction Models for Sepsis-Associated Thrombocytopenia Risk in Intensive Care Units Based on a Machine Learning Algorithm.DOCX
Sepsis-associated thrombocytopenia (SAT) is a common complication in the intensive care unit (ICU), which significantly increases the mortality rate and leads to poor prognosis of diseases. Machine le
frontiersin.figshare.com2023-05-31 更新40



