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MicPie/unpredictable_cluster15
UnpredicTable数据集由从互联网表格中提取的少样本任务组成，旨在通过微调语言模型来提高其在少样本学习中的表现。数据集包含多个版本和子集，涵盖了广泛的任务类型，如多项选择、问答、文本分类等。数据集的创建基于WDC Web Table Corpus，并通过自动化的方式将表格转换为少样本学习任务。
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Additional file 5 of You are more than what you eat: potentially adaptive enrichment of microbiome functions across bat dietary niches
Additional file 5: Table S4. Confusion matrix for Random Forest models attempting to predict host genus membership based on metagenome functions. Out-of-bag error rate was 58.35%.
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RNA-seq Titration Results used in plotting for "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously"
This data accompanies the manuscript "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously" by Foltz, Taroni, and Greene. Please refer to
Mendeley Data2024-01-31 更新60
Biomass Exports in Europe by Country
Biomass exports in thousand tons, and tons per capita for European countries. Our dataset has a 10.4% larger congruent dataset (to be used in various supervised or unsupervised learning models, such a
Mendeley Data2024-05-10 更新120
Parkinson’s Disease Data Set
To Detecting Parkinson’s Disease – Python Machine Learning Project
kaggle2020-08-05 更新60
