Datasets:
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README.md
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---
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license: cdla-permissive-2.0
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task_categories:
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- tabular-regression
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pretty_name: pca_50k
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tags:
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- tabular
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- genomics
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- multiregression
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- Biomedical
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- Benchmark
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configs:
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- config_name: pca_50k
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data_files:
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- split: train
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path: data/train.parquet
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- split: validation
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path: data/val.parquet
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- split: test
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path: data/test.parquet
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dataset_info:
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description: This dataset contains genotypes from chromosome chr22 for a subset
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of samples from the 1000 Genomes Project and HGDP. For this specific dataset,
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50k SNPs at random positions where randomly selected from the original sequences
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and missing values where introduced with a probability of 0%. The task
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is to predict the first 3 PCA coordinates of each sample..
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---
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