{ "data_id": "40909", "name": "Pen_local", "exact_name": "Pen_local", "version": 1, "version_label": null, "description": ""This UCI dataset contains the hand- written digits 0–9 of 45 different writers. All digits are kept, except for the digit 4. From this class, the first 10 instances are kept (similar to [46]). This results in a local anomaly detection task with clusters of different densities and 10 local anomalies, which we refer to as pen-local." (cite from Goldstein, Markus, and Seiichi Uchida. "A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data." PloS one 11.4 (2016): e0152173.). This dataset is not the original dataset. The target variable "Target" is relabeled into "Normal" and "Anomaly".", "format": "ARFF", "uploader": "Minh-Anh Le", "uploader_id": 3768, "visibility": "public", "creator": "\"Markus Goldstein\"", "contributor": "\"\"F. Alimoglu (1996) Combining Multiple Classifiers for Pen-Based Handwritten Digit Recognition\",\"MSc Thesis\",\"Institute of Graduate Studies in Science and Engineering\",\"Bogazici University.\"\"", "date": "2017-09-22 19:52:40", "update_comment": null, "last_update": "2017-09-22 19:52:40", "licence": "Public", "status": "in_preparation", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/16787472\/phpMh5uoC", "default_target_attribute": "Target", "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Pen_local", ""This UCI dataset contains the hand- written digits 0–9 of 45 different writers. All digits are kept, except for the digit 4. From this class, the first 10 instances are kept (similar to [46]). This results in a local anomaly detection task with clusters of different densities and 10 local anomalies, which we refer to as pen-local." (cite from Goldstein, Markus, and Seiichi Uchida. 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