{ "data_id": "561", "name": "cpu", "exact_name": "cpu", "version": 1, "version_label": null, "description": "**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\nAttributes 2 and 8 deleted.\n\nAs used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction\nusing instance-based learning with encoding length selection. In Progress\nin Connectionist-Based Information Systems. Singapore: Springer-Verlag.\n\n!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n1. Title: Relative CPU Performance Data\n\n2. Source Information\n-- Creators: Phillip Ein-Dor and Jacob Feldmesser\n-- Ein-Dor: Faculty of Management; Tel Aviv University; Ramat-Aviv;\nTel Aviv, 69978; Israel\n-- Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779\n-- Date: October, 1987\n\n3. Past Usage:\n1. Ein-Dor and Feldmesser (CACM 4\/87, pp 308-317)\n-- Results:\n-- linear regression prediction of relative cpu performance\n-- Recorded 34% average deviation from actual values\n2. Kibler,D. & Aha,D. (1988). Instance-Based Prediction of\nReal-Valued Attributes. In Proceedings of the CSCSI (Canadian\nAI) Conference.\n-- Results:\n-- instance-based prediction of relative cpu performance\n-- similar results; no transformations required\n- Predicted attribute: cpu relative performance (numeric)\n\n4. Relevant Information:\n-- The estimated relative performance values were estimated by the authors\nusing a linear regression method. See their article (pp 308-313) for\nmore details on how the relative performance values were set.\n\n5. Number of Instances: 209\n\n6. Number of Attributes: 10 (6 predictive attributes, 2 non-predictive,\n1 goal field, and the linear regression's guess)\n\n7. Attribute Information:\n1. vendor name: 30\n(adviser, amdahl,apollo, basf, bti, burroughs, c.r.d, cambex, cdc, dec,\ndg, formation, four-phase, gould, honeywell, hp, ibm, ipl, magnuson,\nmicrodata, nas, ncr, nixdorf, perkin-elmer, prime, siemens, sperry,\nsratus, wang)\n2. Model Name: many unique symbols\n3. MYCT: machine cycle time in nanoseconds (integer)\n4. MMIN: minimum main memory in kilobytes (integer)\n5. MMAX: maximum main memory in kilobytes (integer)\n6. CACH: cache memory in kilobytes (integer)\n7. CHMIN: minimum channels in units (integer)\n8. CHMAX: maximum channels in units (integer)\n9. PRP: published relative performance (integer)\n10. ERP: estimated relative performance from the original article (integer)\n\n8. Missing Attribute Values: None\n\n9. Class Distribution: the class value (PRP) is continuously valued.\nPRP Value Range: Number of Instances in Range:\n0-20 31\n21-100 121\n101-200 27\n201-300 13\n301-400 7\n401-500 4\n501-600 2\nabove 600 4\n\nSummary Statistics:\nMin Max Mean SD PRP Correlation\nMCYT: 17 1500 203.8 260.3 -0.3071\nMMIN: 64 32000 2868.0 3878.7 0.7949\nMMAX: 64 64000 11796.1 11726.6 0.8630\nCACH: 0 256 25.2 40.6 0.6626\nCHMIN: 0 52 4.7 6.8 0.6089\nCHMAX: 0 176 18.2 26.0 0.6052\nPRP: 6 1150 105.6 160.8 1.0000\nERP: 15 1238 99.3 154.8 0.9665", "format": "ARFF", "uploader": "Joaquin Vanschoren", "uploader_id": 2, "visibility": "public", "creator": "Phillip Ein-Dor, Jacob Feldmesser", "contributor": null, "date": "2014-10-03 21:52:48", "update_comment": null, "last_update": "2014-10-03 21:52:48", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/52739\/cpu.arff", "default_target_attribute": "class", "row_id_attribute": null, "ignore_attribute": null, "runs": 2, "suggest": { "input": [ "cpu", "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Attributes 2 and 8 deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 1. Title: Relative CPU Performance Data 2. Source Information -- Creators: Phillip Ein-Dor and Jacob Fe " ], "weight": 5 }, "qualities": { "NumberOfInstances": 209, "NumberOfFeatures": 8, "NumberOfClasses": 0, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 1, "Quartile3AttributeEntropy": null, "RandomTreeDepth1ErrRate": null, "EquivalentNumberOfAtts": null, "MaxNominalAttDistinctValues": 30, "MinSkewnessOfNumericAtts": 2.1406626369225803, "PercentageOfInstancesWithMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 22.468899069671842, "AutoCorrelation": -54.56730769230769, "RandomTreeDepth1Kappa": null, "J48.00001.AUC": null, "MaxSkewnessOfNumericAtts": 4.3040240207375895, "MinStdDevOfNumericAtts": 6.816273503034004, "PercentageOfMissingValues": 0, "Quartile3MeansOfNumericAtts": 2867.9808612440193, "CfsSubsetEval_DecisionStumpAUC": null, "RandomTreeDepth2AUC": null, "J48.00001.ErrRate": null, "MaxStdDevOfNumericAtts": 11726.564377166444, 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