Datasets:
Tasks:
Tabular Classification
Formats:
csv
Sub-tasks:
tabular-multi-class-classification
Size:
< 1K
License:
Youran Li commited on
Update README.md
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README.md
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@@ -43,6 +43,7 @@ This Hugging Face repository organizes the data into two levels:
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1. **Intermediate Data**: CSV files exported from the initial R/Bioconductor processing step.
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2. **Processed Data**: model-ready train, validation, and test splits generated in Python.
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The prediction task is binary classification of distant metastasis-free survival (DMFS) event status using gene-expression features.
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│ ├── validation.csv
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│ └── test.csv
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│
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└── README.md
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1. **Intermediate Data**: CSV files exported from the initial R/Bioconductor processing step.
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2. **Processed Data**: model-ready train, validation, and test splits generated in Python.
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3. **Processed Data Subset**: subset of the processed rain, validation, and test splits generated in Python. These have a reduced feature space and are for display only.
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The prediction task is binary classification of distant metastasis-free survival (DMFS) event status using gene-expression features.
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│ ├── validation.csv
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│ └── test.csv
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│
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├── processed_data_subset/
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│ ├── train.csv
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│ ├── validation.csv
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│ └── test.csv
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│
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└── README.md
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