Datasets:
feature
stringclasses 1
value | original_value
stringclasses 16
values | encoded_value
int64 0
15
|
---|---|---|
education | Preschool | 0 |
education | 1st-4th | 1 |
education | 5th-6th | 2 |
education | 7th-8th | 3 |
education | 9th | 4 |
education | 10th | 5 |
education | 11th | 6 |
education | 12th | 7 |
education | HS-grad | 8 |
education | Assoc-acdm | 9 |
education | Assoc-voc | 10 |
education | Some-college | 11 |
education | Bachelors | 12 |
education | Masters | 13 |
education | Doctorate | 14 |
education | Prof-school | 15 |
YAML Metadata
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YAML Metadata
Error:
"configs[1]" must be of type object
YAML Metadata
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"configs[2]" must be of type object
YAML Metadata
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Adult
The Adult dataset from the UCI ML repository. Census dataset including personal characteristic of a person, and their income threshold.
Configurations and tasks
Configuration | Task | Description |
---|---|---|
encoding | Encoding dictionary showing original values of encoded features. | |
income | Binary classification | Classify the person's income as over or under the threshold. |
income-no race | Binary classification | As income , but the race feature is removed. |
race | Multiclass classification | Predict the race of the individual. |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/adult", "income")["train"]
Features
Target feature changes according to the selected configuration and is always in last position in the dataset.
Feature | Type | Description |
---|---|---|
age |
[int64] |
Age of the person. |
capital_gain |
[float64] |
Capital gained by the person. |
capital_loss |
[float64] |
Capital lost by the person. |
education |
[int8] |
Education level: the higher, the more educated the person. |
final_weight |
[int64] |
|
hours_worked_per_week |
[int64] |
Hours worked per week. |
marital_status |
[string] |
Marital status of the person. |
native_country |
[string] |
Native country of the person. |
occupation |
[string] |
Job of the person. |
race |
[string] |
Race of the person. |
relationship |
[string] |
|
is_male |
[bool] |
Man/Woman. |
workclass |
[string] |
Type of job of the person. |
over_threshold | int8 |
1 for income >= 50k$ , 0 otherwise. |
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