MikeGreen2710/location_with_extra_feature_outlier_800k_to_pred

---
dataset_info:
features:
- name: description
dtype: string
- name: house_front_std
dtype: float64
- name: road_wide_std
dtype: float64
- name: car_area_std
dtype: float64
- name: price_std
dtype: float64
- name: number_of_floors_std
dtype: float64
- name: street
dtype: string
- name: city
dtype: string
- name: district
dtype: string
- name: ward
dtype: string
- name: id
dtype: string
- name: title
dtype: string
- name: LAN
sequence: string
- name: overlapped
dtype: float64
- name: house_location
dtype: float64
- name: ngo
dtype: bool
- name: house_location_2
dtype: string
- name: address
dtype: string
- name: duong
dtype: bool
- name: house_front_std_is_filled
dtype: int64
- name: house_front_std_filled
dtype: float64
- name: house_front_std_normed
dtype: float64
- name: road_wide_std_is_filled
dtype: int64
- name: road_wide_std_filled
dtype: float64
- name: road_wide_std_normed
dtype: float64
- name: car_area_std_is_filled
dtype: int64
- name: car_area_std_filled
dtype: float64
- name: car_area_std_normed
dtype: float64
- name: price_std_is_filled
dtype: int64
- name: price_std_filled
dtype: float64
- name: price_std_normed
dtype: float64
- name: number_of_floors_std_is_filled
dtype: int64
- name: number_of_floors_std_filled
dtype: float64
- name: number_of_floors_std_normed
dtype: float64
- name: street_filled
dtype: string
- name: city_filled
dtype: string
- name: district_filled
dtype: string
- name: ward_filled
dtype: string
- name: price_median_by_location
dtype: float64
- name: price_median_by_location_normed
dtype: float64
- name: street_encoded
dtype: float64
- name: city_encoded
dtype: float64
- name: district_encoded
dtype: float64
- name: ward_encoded
dtype: float64
- name: street_encoded_normed
dtype: float64
- name: city_encoded_normed
dtype: float64
- name: district_encoded_normed
dtype: float64
- name: ward_encoded_normed
dtype: float64
- name: final_z_score
dtype: float64
- name: outlier
dtype: float64
- name: extra_data
sequence: float64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 1205465129
num_examples: 895032
download_size: 501964319
dataset_size: 1205465129
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

This dataset is primarily used for real estate analysis, including various features of houses and geographical location information, as well as normalized and encoded data, suitable for training models to identify trends and outliers in the real estate market.

原始信息汇总

数据集特征概述

基本特征

• description: 字符串类型
• house_front_std: 浮点数类型
• road_wide_std: 浮点数类型
• car_area_std: 浮点数类型
• price_std: 浮点数类型
• number_of_floors_std: 浮点数类型
• street: 字符串类型
• city: 字符串类型
• district: 字符串类型
• ward: 字符串类型
• id: 字符串类型
• title: 字符串类型
• LAN: 序列字符串类型
• overlapped: 浮点数类型
• house_location: 浮点数类型
• ngo: 布尔类型
• house_location_2: 字符串类型
• address: 字符串类型
• duong: 布尔类型

标准化和填充特征

• house_front_std_is_filled: 整数类型
• house_front_std_filled: 浮点数类型
• house_front_std_normed: 浮点数类型
• road_wide_std_is_filled: 整数类型
• road_wide_std_filled: 浮点数类型
• road_wide_std_normed: 浮点数类型
• car_area_std_is_filled: 整数类型
• car_area_std_filled: 浮点数类型
• car_area_std_normed: 浮点数类型
• price_std_is_filled: 整数类型
• price_std_filled: 浮点数类型
• price_std_normed: 浮点数类型
• number_of_floors_std_is_filled: 整数类型
• number_of_floors_std_filled: 浮点数类型
• number_of_floors_std_normed: 浮点数类型

地址相关特征

• street_filled: 字符串类型
• city_filled: 字符串类型
• district_filled: 字符串类型
• ward_filled: 字符串类型

价格和编码特征

• price_median_by_location: 浮点数类型
• price_median_by_location_normed: 浮点数类型
• street_encoded: 浮点数类型
• city_encoded: 浮点数类型
• district_encoded: 浮点数类型
• ward_encoded: 浮点数类型
• street_encoded_normed: 浮点数类型
• city_encoded_normed: 浮点数类型
• district_encoded_normed: 浮点数类型
• ward_encoded_normed: 浮点数类型

其他特征

• final_z_score: 浮点数类型
• outlier: 浮点数类型
• extra_data: 序列浮点数类型
• index_level_0: 整数类型

数据集分割

• train: 训练集，包含895032个样本，数据量大小为1205465129字节。

数据集大小

• 下载大小: 501964319字节
• 数据集大小: 1205465129字节