WAIC'22因果学习和决策优化数据集

本数据集是由北京九章云极科技有限公司为“因果学习和决策优化挑战赛”准备的半生成数据。对原始数据集进行了脱敏处理，并根据一些规则添加多个新特征，转化成一个因果推断的通用数据集，主要目的是估计不同干预方案下样本的因果效应，并制定使因果效应最大化的最优决策。
天池比赛地址：https://tianchi.aliyun.com/competition/entrance/532019/introduction

This dataset is semi-synthetic data prepared by Beijing DataCanvas Technology Co., Ltd. for the "Causal Learning and Decision Optimization Challenge". The original dataset has been desensitized, and multiple new features have been added according to certain rules to transform it into a general-purpose dataset for causal inference. Its primary goal is to estimate the causal effects of samples under different intervention schemes and formulate optimal decisions that maximize the causal effects. Tianchi competition address: https://tianchi.aliyun.com/competition/entrance/532019/introduction

搜集汇总

背景与挑战

背景概述

WAIC'22因果学习和决策优化数据集是一个半生成数据集，包含训练集、测试集和标准结果文件，用于估计不同干预方案下的因果效应并优化决策。数据集经过脱敏处理，包含离散和连续特征，适用于因果推断和机器学习研究。