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--- |
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configs: |
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- config_name: dating |
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data_files: |
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- path: dating/train.csv |
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split: train |
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default: true |
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language: en |
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license: unknown |
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pretty_name: Speeddating |
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size_categories: 1M<n<10M |
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tags: |
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- tabular_classification |
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- binary_classification |
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- multiclass_classification |
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task_categories: |
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- tabular-classification |
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--- |
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# Speed dating |
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The [Speed dating dataset](https://www.openml.org/search?type=data&sort=nr_of_likes&status=active&id=40536) from OpenML. |
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# Configurations and tasks |
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| **Configuration** | **Task** | Description | |
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|-------------------|---------------------------|---------------------------------------------------------------| |
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| dating | Binary classification | Will the two date? | |
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# Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("mstz/speeddating")["train"] |
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``` |
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# Features |
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|**Features** |**Type** | |
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|---------------------------------------------------|---------| |
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|`is_dater_male` |`int8` | |
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|`dater_age` |`int8` | |
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|`dated_age` |`int8` | |
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|`age_difference` |`int8` | |
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|`dater_race` |`string` | |
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|`dated_race` |`string` | |
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|`are_same_race` |`int8` | |
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|`same_race_importance_for_dater` |`float64`| |
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|`same_religion_importance_for_dater` |`float64`| |
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|`attractiveness_importance_for_dated` |`float64`| |
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|`sincerity_importance_for_dated` |`float64`| |
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|`intelligence_importance_for_dated` |`float64`| |
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|`humor_importance_for_dated` |`float64`| |
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|`ambition_importance_for_dated` |`float64`| |
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|`shared_interests_importance_for_dated` |`float64`| |
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|`attractiveness_score_of_dater_from_dated` |`float64`| |
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|`sincerity_score_of_dater_from_dated` |`float64`| |
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|`intelligence_score_of_dater_from_dated` |`float64`| |
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|`humor_score_of_dater_from_dated` |`float64`| |
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|`ambition_score_of_dater_from_dated` |`float64`| |
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|`shared_interests_score_of_dater_from_dated` |`float64`| |
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|`attractiveness_importance_for_dater` |`float64`| |
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|`sincerity_importance_for_dater` |`float64`| |
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|`intelligence_importance_for_dater` |`float64`| |
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|`humor_importance_for_dater` |`float64`| |
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|`ambition_importance_for_dater` |`float64`| |
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|`shared_interests_importance_for_dater` |`float64`| |
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|`self_reported_attractiveness_of_dater` |`float64`| |
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|`self_reported_sincerity_of_dater` |`float64`| |
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|`self_reported_intelligence_of_dater` |`float64`| |
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|`self_reported_humor_of_dater` |`float64`| |
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|`self_reported_ambition_of_dater` |`float64`| |
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|`reported_attractiveness_of_dated_from_dater` |`float64`| |
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|`reported_sincerity_of_dated_from_dater` |`float64`| |
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|`reported_intelligence_of_dated_from_dater` |`float64`| |
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|`reported_humor_of_dated_from_dater` |`float64`| |
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|`reported_ambition_of_dated_from_dater` |`float64`| |
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|`reported_shared_interests_of_dated_from_dater` |`float64`| |
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|`dater_interest_in_sports` |`float64`| |
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|`dater_interest_in_tvsports` |`float64`| |
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|`dater_interest_in_exercise` |`float64`| |
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|`dater_interest_in_dining` |`float64`| |
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|`dater_interest_in_museums` |`float64`| |
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|`dater_interest_in_art` |`float64`| |
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|`dater_interest_in_hiking` |`float64`| |
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|`dater_interest_in_gaming` |`float64`| |
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|`dater_interest_in_clubbing` |`float64`| |
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|`dater_interest_in_reading` |`float64`| |
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|`dater_interest_in_tv` |`float64`| |
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|`dater_interest_in_theater` |`float64`| |
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|`dater_interest_in_movies` |`float64`| |
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|`dater_interest_in_concerts` |`float64`| |
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|`dater_interest_in_music` |`float64`| |
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|`dater_interest_in_shopping` |`float64`| |
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|`dater_interest_in_yoga` |`float64`| |
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|`interests_correlation` |`float64`| |
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|`expected_satisfaction_of_dater` |`float64`| |
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|`expected_number_of_likes_of_dater_from_20_people` |`int8` | |
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|`expected_number_of_dates_for_dater` |`int8` | |
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|`dater_liked_dated` |`float64`| |
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|`probability_dated_wants_to_date` |`float64`| |
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|`already_met_before` |`int8` | |
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|`dater_wants_to_date` |`int8` | |
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|`dated_wants_to_date` |`int8` | |
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