|
--- |
|
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](https://www.openml.org/search?type=data&sort=nr_of_likes&status=active&id=40536) from OpenML. |
|
|
|
|
|
# Configurations and tasks |
|
| **Configuration** | **Task** | Description | |
|
|-------------------|---------------------------|---------------------------------------------------------------| |
|
| dating | Binary classification | Will the two date? | |
|
|
|
# Usage |
|
```python |
|
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` | |
|
|
