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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** |**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_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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- |`sex` |`[int8]` | Sex of the person |
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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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  ```
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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. |