SensIT-Vehicle-Combined
OpenML dataset with id 1593
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/1595683/SensIT-Vehicle-Combined.sparse_arff
Upload date: 15 June 2015
Dataset Characteristics
Number of classes: 0
Number of features: 101 (numeric: 101, symbolic: 0 and in total binary: 0 )
Number of instances: 98,528
Number of instances with missing values: 0
Number of missing values: 0
Author: University of Wisconsin–Madison libSVM","AAD group Source: original - Date unknown Please cite:
- Dataset from the LIBSVM data repository.
Preprocessing: Regenerate features by the authors' matlab scripts (see Sec. C of Appendix A), then randomly select 10% instances from the noise class so that the class proportion is 1:1:2 (AAV:DW:noise). The training/testing sets are from a random 80% and 20% split of the data.
This page was built for dataset: SensIT-Vehicle-Combined
