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--- |
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language: |
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- en |
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tags: |
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- compas |
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- tabular_classification |
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- binary_classification |
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pretty_name: Bank |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- tabular-classification |
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configs: |
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- encoding |
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- subscription |
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--- |
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# Bank |
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The [Bank dataset](https://archive.ics.uci.edu/ml/datasets/bank+marketing) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets). |
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Potential clients are contacted by a bank during a second advertisement campaign. |
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This datasets records the customer, the interaction with the AD campaign, and if they subscribed to a proposed bank plan or not. |
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# Configurations and tasks |
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- `encoding` The encoding dictionaries mapping binary and ordinal features to their value;. |
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- `subscription` Binary classification task to classify whether the customer has subscribed or not. |
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# Features |
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| **Name** |**Type** | |
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|-----------------------------------------------|-----------| |
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|`age` |`int64` | |
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|`job` |`string` | |
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|`marital_status` |`string` | |
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|`education` |`int8` | |
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|`has_defaulted` |`int8` | |
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|`account_balance` |`int64` | |
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|`has_housing_loan` |`int8` | |
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|`has_personal_loan` |`int8` | |
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|`month_of_last_contact` |`string` | |
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|`number_of_calls_in_ad_campaign` |`string` | |
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|`days_since_last_contact_of_previous_campaign` |`int16` | |
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|`number_of_calls_before_this_campaign` |`int16` | |
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|`successfull_subscription` |`int8` | |
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