name = MoscowHousing

task = regression

features = rooms,area,kitchen_area,floor,floors_total,metro_minutes,renovation
target = price

description.en = Apartment prices in Moscow with basic structural and location features.
description.ru = Цены на квартиры в Москве с основными характеристиками жилья и расположения.

source = Real estate listings (aggregated dataset)
url = https://example.com/moscow-housing

feature.price = float
feature.rooms = int
feature.area = float
feature.kitchen_area = float
feature.floor = int
feature.floors_total = int
feature.metro_minutes = float
feature.renovation = categorical

feature.price.ru = цена квартиры
feature.rooms.ru = число комнат
feature.area.ru = площадь квартиры
feature.kitchen_area.ru = площадь кухни
feature.floor.ru = этаж
feature.floors_total.ru = этажей в доме
feature.metro_minutes.ru = минуты до метро
feature.renovation.ru = тип ремонта

feature.price.en = apartment price
feature.rooms.en = number of rooms
feature.area.en = apartment area
feature.kitchen_area.en = kitchen area
feature.floor.en = floor
feature.floors_total.en = total floors in building
feature.metro_minutes.en = minutes to metro
feature.renovation.en = renovation type

value.renovation.without.ru = без ремонта
value.renovation.cosmetic.ru = косметический
value.renovation.euro.ru = евроремонт
value.renovation.designer.ru = дизайнерский

value.renovation.without.en = without renovation
value.renovation.cosmetic.en = cosmetic
value.renovation.euro.en = european renovation
value.renovation.designer.en = designer renovation