Datasets:
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README.md
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@@ -37,19 +37,19 @@ dataset = load_dataset("mstz/adult", "income")["train"]
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```
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# Features
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|**Feature**
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|`age`
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|`capital_gain`
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|`capital_loss`
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|`education`
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|`final_weight`
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|`
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|`marital_status`
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|`native_country`
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|`occupation`
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|`race`
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|`relationship`
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|`
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|`workclass`
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```
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# Features
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|**Feature** |**Type** | **Description** |
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|-------------------------------|-----------|------------------------------------------------------------|
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|`age` |`[int64]` | Age of the person. |
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|`capital_gain` |`[float64]`| Capital gained by the person. |
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|`capital_loss` |`[float64]`| Capital lost by the person. |
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|`education` |`[int8]` | Education level: the higher, the more educated the person. |
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|`final_weight` |`[int64]` | |
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|`hours_worked_per_week` |`[int64]` | Hours worked per week. |
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|`marital_status` |`[string]` | Marital status of the person. |
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|`native_country` |`[string]` | Native country of the person. |
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|`occupation` |`[string]` | Job of the person. |
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|`race` |`[string]` | Race of the person. |
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|`relationship` |`[string]` | |
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|`is_male` |`[bool]` | Man/Woman. |
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|`workclass` |`[string]` | Type of job of the person. |
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|**over_threshold** |`int8` | `1` for income `>= 50k$`, `0` otherwise. |
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