metadata

language:
  - en
tags:
  - speeddating
  - tabular_classification
  - binary_classification
pretty_name: Speed dating
size_categories:
  - 1K<n<10K
task_categories:
  - tabular-classification
configs:
  - dating

Speed dating

The Speed dating dataset from OpenML.

Configurations and tasks

Configuration	Task	Description
dating	Binary classification	Will the two date?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/speeddating")["train"]

Features

Features	Type
`is_dater_male`	`int8`
`dater_age`	`int8`
`dated_age`	`int8`
`age_difference`	`int8`
`dater_race`	`string`
`dated_race`	`string`
`are_same_race`	`int8`
`same_race_importance_for_dater`	`float64`
`same_religion_importance_for_dater`	`float64`
`attractiveness_importance_for_dated`	`float64`
`sincerity_importance_for_dated`	`float64`
`intelligence_importance_for_dated`	`float64`
`humor_importance_for_dated`	`float64`
`ambition_importance_for_dated`	`float64`
`shared_interests_importance_for_dated`	`float64`
`attractiveness_score_of_dater_from_dated`	`float64`
`sincerity_score_of_dater_from_dated`	`float64`
`intelligence_score_of_dater_from_dated`	`float64`
`humor_score_of_dater_from_dated`	`float64`
`ambition_score_of_dater_from_dated`	`float64`
`shared_interests_score_of_dater_from_dated`	`float64`
`attractiveness_importance_for_dater`	`float64`
`sincerity_importance_for_dater`	`float64`
`intelligence_importance_for_dater`	`float64`
`humor_importance_for_dater`	`float64`
`ambition_importance_for_dater`	`float64`
`shared_interests_importance_for_dater`	`float64`
`self_reported_attractiveness_of_dater`	`float64`
`self_reported_sincerity_of_dater`	`float64`
`self_reported_intelligence_of_dater`	`float64`
`self_reported_humor_of_dater`	`float64`
`self_reported_ambition_of_dater`	`float64`
`reported_attractiveness_of_dated_from_dater`	`float64`
`reported_sincerity_of_dated_from_dater`	`float64`
`reported_intelligence_of_dated_from_dater`	`float64`
`reported_humor_of_dated_from_dater`	`float64`
`reported_ambition_of_dated_from_dater`	`float64`
`reported_shared_interests_of_dated_from_dater`	`float64`
`dater_interest_in_sports`	`float64`
`dater_interest_in_tvsports`	`float64`
`dater_interest_in_exercise`	`float64`
`dater_interest_in_dining`	`float64`
`dater_interest_in_museums`	`float64`
`dater_interest_in_art`	`float64`
`dater_interest_in_hiking`	`float64`
`dater_interest_in_gaming`	`float64`
`dater_interest_in_clubbing`	`float64`
`dater_interest_in_reading`	`float64`
`dater_interest_in_tv`	`float64`
`dater_interest_in_theater`	`float64`
`dater_interest_in_movies`	`float64`
`dater_interest_in_concerts`	`float64`
`dater_interest_in_music`	`float64`
`dater_interest_in_shopping`	`float64`
`dater_interest_in_yoga`	`float64`
`interests_correlation`	`float64`
`expected_satisfaction_of_dater`	`float64`
`expected_number_of_likes_of_dater_from_20_people`	`int8`
`expected_number_of_dates_for_dater`	`int8`
`dater_liked_dated`	`float64`
`probability_dated_wants_to_date`	`float64`
`already_met_before`	`int8`
`dater_wants_to_date`	`int8`
`dated_wants_to_date`	`int8`