# Balance scale
The [Balance scale dataset](https://archive-beta.ics.uci.edu/dataset/12/balance+scale) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).

Two weights are put on the arms of a scale. Where does the scale tilt?

# Configurations and tasks
| **Configuration** | **Task**                  | Description                                                   |
|-------------------|---------------------------|---------------------------------------------------------------|
| balance           | Multiclass classification | Where does the scale tilt?                             |
| is_balanced       | Binary classification     | Does the scale tilt?                             |

# Usage
```python
from datasets import load_dataset

dataset = load_dataset("mstz/balance_scale", "balance")["train"]
```

# Features
Target feature changes according to the selected configuration and is always in last position in the dataset.
task_categories:tabular-classification size_categories:n<1K language:en balance_scale tabular_classification multiclass_classification binary_classification UCI region:us
{"language": ["en"], "size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "Balance", "tags": ["balance_scale", "tabular_classification", "multiclass_classification", "binary_classification", "UCI"], "configs": ["balance", "is_balanced"]}
TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #balance_scale #tabular_classification #multiclass_classification #binary_classification #UCI #region-us 

Balance scale
=============


The Balance scale dataset from the UCI ML repository.


Two weights are put on the arms of a scale. Where does the scale tilt?


Configurations and tasks
========================


Configuration: balance, Task: Multiclass classification, Description: Where does the scale tilt?
Configuration: is\_balanced, Task: Binary classification, Description: Does the scale tilt?


Usage
=====


Features
========


Target feature changes according to the selected configuration and is always in last position in the dataset.



TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #balance_scale #tabular_classification #multiclass_classification #binary_classification #UCI #region-us 

passage: TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #balance_scale #tabular_classification #multiclass_classification #binary_classification #UCI #region-us 
