DEVELOPMENT... { "data_id": "857", "name": "bolts", "exact_name": "bolts", "version": 2, "version_label": null, "description": "**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nSUMMARY:\n\nData from an experiment on the affects of machine adjustments on\nthe time to count bolts. Data appear as the STATS (Issue 10) Challenge.\n\nDATA:\n\nSubmitted by W. Robert Stephenson, Iowa State University\nemail: wrstephe@iastate.edu\n\nA manufacturer of automotive accessories provides hardware, e.g. nuts,\nbolts, washers and screws, to fasten the accessory to the car or truck.\nHardware is counted and packaged automatically. Specifically, bolts\nare dumped into a large metal dish. A plate that forms the bottom of\nthe dish rotates counterclockwise. This rotation forces bolts to the\noutside of the dish and up along a narrow ledge. Due to the vibration\nof the dish caused by the spinning bottom plate, some bolts fall off\nthe ledge and back into the dish. The ledge spirals up to a point\nwhere the bolts are allowed to drop into a pan on a conveyor belt.\nAs a bolt drops, it passes by an electronic eye that counts it. When\nthe electronic counter reaches the preset number of bolts, the\nrotation is stopped and the conveyor belt is moved forward.\n\nThere are several adjustments on the machine that affect its operation.\nThese include; a speed setting that controls the speed of rotation\n(SPEED1) of the plate at the bottom of the dish, a total number of\nbolts (TOTAL) to be counted, a second speed setting (SPEED2) that is\nused to change the speed of rotation (usually slowing it down) for the\nlast few bolts, the number of bolts to be counted at this second speed\n(NUMBER2), and the sensitivity of the electronic eye (SENS). The\nsensitivity setting is to insure that the correct number of bolts are\ncounted. Too few bolts packaged causes customer complaints. Too many\nbolts packaged increases costs. For each run conducted in this\nexperiment the correct number of bolts was counted. From an\nengineering standpoint if the correct number of bolts is counted, the\nsensitivity should not affect the time to count bolts. The measured\nresponse is the time (TIME), in seconds, it takes to count the desired\nnumber of bolts. In order to put times on a equal footing the\nresponse to be analyzed is the time to count 20 bolts (T20BOLT).\nBelow are the data for 40 combinations of settings. RUN is the order\nin which the data were collected.\n\nAnalyze the data. What adjustments have the greatest effect on the\ntime to count 20 bolts? How would you adjust the machine to get\nthe shortest time to count 20 bolts? Are there any unusual features\nto the data?\n\nData\n\nRUN SPEED1 TOTAL SPEED2 NUMBER2 SENS TIME T20BOLT\n\n\nThe data description and data may be freely used for non-commercial\npurposes and can be freely distributed. Copyright remains with the\nauthor and STATS Magazine.\n\n\nInformation about the dataset\nCLASSTYPE: numeric\nCLASSINDEX: last", "format": "ARFF", "uploader": "Felicia West", "uploader_id": 2, "visibility": "public", "creator": null, "contributor": null, "date": "2014-10-04 14:35:28", "update_comment": null, "last_update": "2014-10-04 14:35:28", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/53391\/bolts.arff", "default_target_attribute": "binaryClass", "row_id_attribute": null, "ignore_attribute": null, "runs": 754, "suggest": { "input": [ "bolts", "SUMMARY: Data from an experiment on the affects of machine adjustments on the time to count bolts. Data appear as the STATS (Issue 10) Challenge. DATA: Submitted by W. Robert Stephenson, Iowa State University email: wrstephe@iastate.edu A manufacturer of automotive accessories provides hardware, e.g. nuts, bolts, washers and screws, to fasten the accessory to the car or truck. Hardware is counted and packaged automatically. Specifically, bolts are dumped into a large metal dish. A plate that for " ], "weight": 5 }, "qualities": { "NumberOfInstances": 40, "NumberOfFeatures": 8, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 1, "AutoCorrelation": 0.7948717948717948, "CfsSubsetEval_DecisionStumpAUC": 0.8543956043956044, "CfsSubsetEval_DecisionStumpErrRate": 0.125, "CfsSubsetEval_DecisionStumpKappa": 0.7206703910614525, "CfsSubsetEval_NaiveBayesAUC": 0.8543956043956044, "CfsSubsetEval_NaiveBayesErrRate": 0.125, "CfsSubsetEval_NaiveBayesKappa": 0.7206703910614525, "CfsSubsetEval_kNN1NAUC": 0.8543956043956044, "CfsSubsetEval_kNN1NErrRate": 0.125, "CfsSubsetEval_kNN1NKappa": 0.7206703910614525, "ClassEntropy": 0.934068055375491, "DecisionStumpAUC": 0.8543956043956044, "DecisionStumpErrRate": 0.1, "DecisionStumpKappa": 0.7727272727272727, "Dimensionality": 0.2, "EquivalentNumberOfAtts": null, "J48.00001.AUC": 0.8901098901098902, "J48.00001.ErrRate": 0.1, "J48.00001.Kappa": 0.7802197802197802, "J48.0001.AUC": 0.8901098901098902, "J48.0001.ErrRate": 0.1, "J48.0001.Kappa": 0.7802197802197802, "J48.001.AUC": 0.8901098901098902, "J48.001.ErrRate": 0.1, "J48.001.Kappa": 0.7802197802197802, "MajorityClassPercentage": 65, "MajorityClassSize": 26, "MaxAttributeEntropy": null, "MaxKurtosisOfNumericAtts": 1.23672067446137, "MaxMeansOfNumericAtts": 36.287, "MaxMutualInformation": null, "MaxNominalAttDistinctValues": 2, "MaxSkewnessOfNumericAtts": 1.4624553897797739, "MaxStdDevOfNumericAtts": 40.290551682395645, "MeanAttributeEntropy": null, "MeanKurtosisOfNumericAtts": -0.9626888420783992, "MeanMeansOfNumericAtts": 12.96957142857143, "MeanMutualInformation": null, "MeanNoiseToSignalRatio": null, "MeanNominalAttDistinctValues": 2, "MeanSkewnessOfNumericAtts": 0.04198089095282374, "MeanStdDevOfNumericAtts": 9.587091400569333, "MinAttributeEntropy": null, "MinKurtosisOfNumericAtts": -1.8237908961593183, "MinMeansOfNumericAtts": 1, "MinMutualInformation": null, "MinNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": -1.1685891531100079, "MinStdDevOfNumericAtts": 0.4529108136578383, "MinorityClassPercentage": 35, "MinorityClassSize": 14, "NaiveBayesAUC": 0.9358516483516484, "NaiveBayesErrRate": 0.05, "NaiveBayesKappa": 0.8863636363636362, "NumberOfBinaryFeatures": 1, "PercentageOfBinaryFeatures": 12.5, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "PercentageOfNumericFeatures": 87.5, "PercentageOfSymbolicFeatures": 12.5, "Quartile1AttributeEntropy": null, "Quartile1KurtosisOfNumericAtts": -1.8237908961593177, "Quartile1MeansOfNumericAtts": 2, "Quartile1MutualInformation": null, "Quartile1SkewnessOfNumericAtts": 0, "Quartile1StdDevOfNumericAtts": 0.9058216273156766, "Quartile2AttributeEntropy": null, "Quartile2KurtosisOfNumericAtts": -1.8237908961593168, "Quartile2MeansOfNumericAtts": 7, "Quartile2MutualInformation": null, "Quartile2SkewnessOfNumericAtts": 0, "Quartile2StdDevOfNumericAtts": 2.900044208327937, "Quartile3AttributeEntropy": null, "Quartile3KurtosisOfNumericAtts": 0.5196210156271048, "Quartile3MeansOfNumericAtts": 20.5, "Quartile3MutualInformation": null, "Quartile3SkewnessOfNumericAtts": 0, "Quartile3StdDevOfNumericAtts": 11.69045194450012, "REPTreeDepth1AUC": 0.7637362637362637, "REPTreeDepth1ErrRate": 0.25, "REPTreeDepth1Kappa": 0.39024390243902446, "REPTreeDepth2AUC": 0.7637362637362637, "REPTreeDepth2ErrRate": 0.25, "REPTreeDepth2Kappa": 0.39024390243902446, "REPTreeDepth3AUC": 0.7637362637362637, "REPTreeDepth3ErrRate": 0.25, "REPTreeDepth3Kappa": 0.39024390243902446, "RandomTreeDepth1AUC": 0.8901098901098902, "RandomTreeDepth1ErrRate": 0.1, "RandomTreeDepth1Kappa": 0.7802197802197802, "RandomTreeDepth2AUC": 0.8901098901098902, "RandomTreeDepth2ErrRate": 0.1, "RandomTreeDepth2Kappa": 0.7802197802197802, "RandomTreeDepth3AUC": 0.8901098901098902, "RandomTreeDepth3ErrRate": 0.1, "RandomTreeDepth3Kappa": 0.7802197802197802, "StdvNominalAttDistinctValues": 0, "kNN1NAUC": 0.8186813186813187, "kNN1NErrRate": 0.15, "kNN1NKappa": 0.659090909090909 }, "tags": [ { "tag": "binarized", "uploader": "1" }, { "tag": "mythbusting_1", "uploader": "1" }, { "tag": "study_1", "uploader": "2" }, { "tag": "study_123", "uploader": "3886" }, { "tag": "study_15", "uploader": "939" }, { "tag": "study_20", "uploader": "939" }, { "tag": "study_41", "uploader": "1" } ], "features": [ { "name": "binaryClass", "index": "7", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "P", "N" ], [ [ "26", "0" ], [ "0", "14" ] ] ] }, { "name": "RUN", "index": "0", "type": "numeric", "distinct": "40", "missing": "0", "min": "1", "max": "40", "mean": "21", "stdev": "12" }, { "name": "SPEED1", "index": "1", "type": "numeric", "distinct": "3", "missing": "0", "min": "2", "max": "6", "mean": "4", "stdev": "2" }, { "name": "TOTAL", "index": "2", "type": "numeric", "distinct": "3", "missing": "0", "min": "10", "max": "30", "mean": "20", "stdev": "9" }, { "name": "SPEED2", "index": "3", "type": "numeric", "distinct": "3", "missing": "0", "min": "2", "max": "3", "mean": "2", "stdev": "0" }, { "name": "NUMBER2", "index": "4", "type": "numeric", "distinct": "3", "missing": "0", "min": "0", "max": "2", "mean": "1", "stdev": "1" }, { "name": "SENS", "index": "5", "type": "numeric", "distinct": "4", "missing": "0", "min": "0", "max": "10", "mean": "7", "stdev": "3" }, { "name": "TIME", "index": "6", "type": "numeric", "distinct": "40", "missing": "0", "min": "4", "max": "134", "mean": "36", "stdev": "40" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 9, "total_downloads": 9, "reach": 9, "reuse": 14, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 14 }