nesuri/FIES-cluster

---
dataset_info:
features:
- name: 'Unnamed: 0'
dtype: int64
- name: Total Household Income
dtype: int64
- name: Total Food Expenditure
dtype: int64
- name: Alcoholic Beverages Expenditure
dtype: int64
- name: Tobacco Expenditure
dtype: int64
- name: Medical Care Expenditure
dtype: int64
- name: Education Expenditure
dtype: float64
- name: Household Head Sex
dtype: int64
- name: Household Head Age
dtype: int64
- name: Household Head Marital Status
dtype: int64
- name: Household Head Highest Grade Completed
dtype: int64
- name: Household Head Job or Business Indicator
dtype: int64
- name: Household Head Occupation
dtype: int64
- name: Household Head Class of Worker
dtype: int64
- name: Type of Household
dtype: int64
- name: Total Number of Family members
dtype: int64
- name: Members with age less than 5 year old
dtype: int64
- name: Members with age 5 - 17 years old
dtype: int64
- name: Total number of family members employed
dtype: int64
- name: Type of Building/House
dtype: int64
splits:
- name: train
num_bytes: 6647040
num_examples: 41544
download_size: 1828567
dataset_size: 6647040
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

原始信息汇总

数据集概述

数据集特征

• Unnamed: 0: 数据类型为 int64
• Total Household Income: 数据类型为 int64
• Total Food Expenditure: 数据类型为 int64
• Alcoholic Beverages Expenditure: 数据类型为 int64
• Tobacco Expenditure: 数据类型为 int64
• Medical Care Expenditure: 数据类型为 int64
• Education Expenditure: 数据类型为 float64
• Household Head Sex: 数据类型为 int64
• Household Head Age: 数据类型为 int64
• Household Head Marital Status: 数据类型为 int64
• Household Head Highest Grade Completed: 数据类型为 int64
• Household Head Job or Business Indicator: 数据类型为 int64
• Household Head Occupation: 数据类型为 int64
• Household Head Class of Worker: 数据类型为 int64
• Type of Household: 数据类型为 int64
• Total Number of Family members: 数据类型为 int64
• Members with age less than 5 year old: 数据类型为 int64
• Members with age 5 - 17 years old: 数据类型为 int64
• Total number of family members employed: 数据类型为 int64
• Type of Building/House: 数据类型为 int64

数据集分割

• train: 包含 41544 条数据，占用 6647040 字节

数据集大小

• 下载大小: 1828567 字节
• 数据集大小: 6647040 字节

配置

• default 配置包含训练数据文件，路径为 data/train-*