Dorothea is a drug dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. The dataset contained 100000 features(columns) and 800 observations(samples) in training dataset and 100000 features and 350 observations in validation dataset. The data is stored as a sparse binary matrix format(it has only 0 and 1 as variables)
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Dorothea is a drug dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. The dataset contained 100000 features(columns) and 800 observations(samples) in training dataset and 100000 features and 350 observations in validation dataset.
vickyjs/Dorothea--PCA--XGBOOST
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Dorothea is a drug dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. The dataset contained 100000 features(columns) and 800 observations(samples) in training dataset and 100000 features and 350 observations in validation dataset.
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