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@@ -28,17 +28,19 @@ The dataset has four configurations:
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  - `race`, multiclass classification to predict the `race` of the individual.
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  # Features
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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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  - `race`, multiclass classification to predict the `race` of the individual.
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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 |