Hyperplane
OpenML dataset with id 43122
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22101577/Hyperplane.arff
Upload date: 8 December 2021
Copyright license: No records found.
Dataset Characteristics
Number of features: 11 (numeric: 10, symbolic: 1 and in total binary: 1 )
Number of instances: 500,000
Number of instances with missing values: 0
Number of missing values: 0
Rotating hyperplane is a stream generator that generates d-dimensional classification problems in which the prediction is defined by a rotating hyperplane. By changing the orientation and position of the hyperplane over time in a smooth manner, we can introduce smooth concept drift.
This version is created with MOA library with drift parameters t equal to 0.1 (control the magnitude of change after every instance) within a window of 100k. Probability of reversing change direction is fixed at 10%.
It contains 500k instances with 10 numeric features. 5% noise is added by randomly changing the class labels.
This page was built for dataset: Hyperplane
