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README.md
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- tabular_classification
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- multiclass_classification
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- binary_classification
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pretty_name:
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size_categories:
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- n<1K
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task_categories:
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---
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# Arhythmia
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The [Arrhythmia dataset](https://archive.ics.uci.edu/ml/datasets/Arrhythmia) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
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# Configurations and tasks
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| **Configuration** | **Task** | Description |
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|-------------------|---------------------------|---------------------------------------------------------------|
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| arhytmia | Multiclass classification |
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| has_arhytmia |
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# Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("mstz/arhythmia", "arhythmia")["train"]
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```
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- tabular_classification
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- multiclass_classification
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- binary_classification
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pretty_name: Arhythmia
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size_categories:
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- n<1K
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task_categories:
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---
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# Arhythmia
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The [Arrhythmia dataset](https://archive.ics.uci.edu/ml/datasets/Arrhythmia) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
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Does the patient have arhythmia? If so, what type?
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# Configurations and tasks
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| **Configuration** | **Task** | Description |
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|-------------------|---------------------------|---------------------------------------------------------------|
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| arhytmia | Multiclass classification | What type of arhythmia does the patient have? |
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| has_arhytmia | Binary classification | Does the patient have arhythmia? |
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# Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("mstz/arhythmia", "arhythmia")["train"]
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```
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# Features
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Target feature changes according to the selected configuration and is always in last position in the dataset.
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