{ "data_id": "40760", "name": "Abalone-test", "exact_name": "Abalone-test", "version": 1, "version_label": null, "description": "Source:\r\n\r\nData comes from an original (non-machine-learning) study: \r\nWarwick J Nash, Tracy L Sellers, Simon R Talbot, Andrew J Cawthorn and Wes B Ford (1994) \r\n"The Population Biology of Abalone (_Haliotis_ species) in Tasmania. I. Blacklip Abalone (_H. rubra_) from the North Coast and Islands of Bass Strait", \r\nSea Fisheries Division, Technical Report No. 48 (ISSN 1034-3288) \r\n\r\nOriginal Owners of Database: \r\n\r\nMarine Resources Division \r\nMarine Research Laboratories - Taroona \r\nDepartment of Primary Industry and Fisheries, Tasmania \r\nGPO Box 619F, Hobart, Tasmania 7001, Australia \r\n(contact: Warwick Nash +61 02 277277, wnash '@' dpi.tas.gov.au) \r\n\r\nDonor of Database: \r\n\r\nSam Waugh (Sam.Waugh '@' cs.utas.edu.au) \r\nDepartment of Computer Science, University of Tasmania \r\nGPO Box 252C, Hobart, Tasmania 7001, Australia \r\n\r\n\r\nData Set Information:\r\n\r\nPredicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem. \r\n\r\nFrom the original data examples with missing values were removed (the majority having the predicted value missing), and the ranges of the continuous values have been scaled for use with an ANN (by dividing by 200).\r\n\r\n\r\nAttribute Information:\r\n\r\nGiven is the attribute name, attribute type, the measurement unit and a brief description. The number of rings is the value to predict: either as a continuous value or as a classification problem. \r\n\r\nName \/ Data Type \/ Measurement Unit \/ Description \r\n----------------------------- \r\nSex \/ nominal \/ -- \/ M, F, and I (infant) \r\nLength \/ continuous \/ mm \/ Longest shell measurement \r\nDiameter \/ continuous \/ mm \/ perpendicular to length \r\nHeight \/ continuous \/ mm \/ with meat in shell \r\nWhole weight \/ continuous \/ grams \/ whole abalone \r\nShucked weight \/ continuous \/ grams \/ weight of meat \r\nViscera weight \/ continuous \/ grams \/ gut weight (after bleeding) \r\nShell weight \/ continuous \/ grams \/ after being dried \r\nRings \/ integer \/ -- \/ +1.5 gives the age in years \r\n\r\nThe readme file contains attribute statistics.\r\n\r\n#autoxgboost #autoweka", "format": "ARFF", "uploader": "Stefan Coors", "uploader_id": 1184, "visibility": "public", "creator": null, "contributor": null, "date": "2017-06-20 11:12:58", "update_comment": null, "last_update": "2017-06-20 11:12:58", "licence": "Public", "status": "in_preparation", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/5797154\/phpth4srz", "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Abalone-test", "Source: Data comes from an original (non-machine-learning) study: Warwick J Nash, Tracy L Sellers, Simon R Talbot, Andrew J Cawthorn and Wes B Ford (1994) "The Population Biology of Abalone (_Haliotis_ species) in Tasmania. I. Blacklip Abalone (_H. rubra_) from the North Coast and Islands of Bass Strait", Sea Fisheries Division, Technical Report No. 48 (ISSN 1034-3288) Original Owners of Database: Marine Resources Division Marine Research Laboratories - Taroona Department of Primary In " ], "weight": 5 }, "qualities": { "NumberOfInstances": 1253, "NumberOfFeatures": 9, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 2, "ClassEntropy": null, "MeanNoiseToSignalRatio": null, "Quartile2AttributeEntropy": null, "Dimensionality": 0.007182761372705506, "MeanNominalAttDistinctValues": 13.5, "Quartile2KurtosisOfNumericAtts": 0.34584705889503997, "EquivalentNumberOfAtts": null, "MeanSkewnessOfNumericAtts": 0.28160628452754644, "Quartile2MeansOfNumericAtts": 0.3522653631284916, "MajorityClassPercentage": null, "MeanStdDevOfNumericAtts": 0.17530406415001681, "Quartile2MutualInformation": null, "MajorityClassSize": 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