Datasets:
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- **Mutual Information (joint)**: 1.1819
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- **Maximum Achievable Accuracy**: 0.8967
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### Supported Tasks
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- `tabular-classification`: The dataset can be used to train models for multi-class classification tasks.
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- Sparse learning research: Study the effectiveness of feature selection and sparse representation learning.
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- Mutual information estimation: Benchmark MI estimation algorithms using the provided ground-truth MI values.
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## Dataset Structure
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- **Mutual Information (joint)**: 1.1819
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- **Maximum Achievable Accuracy**: 0.8967
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## Dataset Structure
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