Causality Causality Workbench                                                             Challenges in Machine Learning Causality
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REGED: A genomics dataset

Contact: Isabelle Guyon - Submitted: 2008-09-12 02:55 - Views : 2006

This is one of the datasets of the first causality challenge: causation and prediction. The goal of the challenge was to make predictions under manipulations. REGED (REsimulated Gene Expression Dataset) monitors the expression of genes, which...  [more/question/discuss/rate/edit...]

  • Authors: Causality workbench team
  • Key facts: Number of variables: 999 (gene expression coefficients) + one binary target variable (health status). Number of examples: training 500 + 3 test sets of 20000...
  • Keywords: bayesian.network, genomics

MARTI: Measurement Artifacts

Contact: Isabelle Guyon - Submitted: 2008-09-12 06:02 - Views : 2086

This is one of the datasets of the first causality challenge: causation and prediction. The goal of the challenge was to make predictions under manipulations. MARTI (Measurement ARTIfact) is obtained from the same data generative process as...  [more/question/discuss/rate/edit...]