Task type

http://openml.org/openml/task-type : A-Z

• Clustering

  • DEF : Given an input dataset, the task is to partition it into various clusters.
• Learning Curve

  • DEF : Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.
• Machine Learning Challenge

  • DEF : This is a standard machine learning challenge with a hidden private dataset.
• Subgroup Discovery

  • DEF : TBA
• Supervised Classification

  • DEF : In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.
• Supervised Data Stream Classification

  • DEF : Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.
• Supervised Regression

  • DEF : Given a dataset with a numeric target and a set of train/test splits, e.g. generated by a cross-validation procedure, train a model and return the predictions of that model.
• Survival Analysis

  • DEF : Related to Regression. Given a dataset (typically consisting of patient data) predict a left timestamp (date entering the study), right timestamp (date of leaving the study), or both.