{ "data_id": "40922", "name": "Run_or_walk_information", "exact_name": "Run_or_walk_information", "version": 1, "version_label": null, "description": "**Author**: Viktor Malyi \r\n**Source**: [Kaggle](https:\/\/www.kaggle.com\/vmalyi\/run-or-walk) \r\n**Please cite**: \r\n\r\n**Run or walk** \r\nThis dataset is gather to detect whether a person is running or walking based on deep neural networks and sensor data collected from iOS devices.\r\n\r\nThe dataset represents 88588 sensor data samples collected from the accelerometer and gyroscope from iPhone 5c in 10 seconds intervals and ~5.4\/second frequency. \r\n\r\n### Attribute information \r\nThis data is represented by following columns (each column contains sensor data for one of the sensor's axes):\r\n\r\nacceleration_x\r\nacceleration_y\r\nacceleration_z\r\ngyro_x\r\ngyro_y\r\ngyro_z\r\n\r\nThere is an activity type represented by \"activity\" column which acts as label and reflects following activities:\r\n\r\n\"0\": walking\r\n\"1\": running\r\n\r\nThe original data also contains a \"wrist\" column which represents the wrist where the device was placed, and \"date\", \"time\" and \"username\" columns which provide information about the exact date, time and user which collected these measurements.", "format": "ARFF", "uploader": "Carlos Giraldo", "uploader_id": 3952, "visibility": "public", "creator": null, "contributor": null, "date": "2017-09-26 14:38:49", "update_comment": null, "last_update": "2017-09-26 14:38:49", "licence": "Public", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/16788738\/phpMD2hR6", "kaggle_url": null, "default_target_attribute": "activity", "row_id_attribute": null, "ignore_attribute": null, "runs": 1, "suggest": { "input": [ "Run_or_walk_information", "This dataset is gather to detect whether a person is running or walking based on deep neural networks and sensor data collected from iOS devices. The dataset represents 88588 sensor data samples collected from the accelerometer and gyroscope from iPhone 5c in 10 seconds intervals and ~5.4\/second frequency. ### Attribute information This data is represented by following columns (each column contains sensor data for one of the sensor's axes): acceleration_x acceleration_y acceleration_z gyro_x gyr " ], "weight": 5 }, "qualities": { "NumberOfInstances": 88588, "NumberOfFeatures": 7, "NumberOfClasses": 2, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 6, "NumberOfSymbolicFeatures": 1, "MeanKurtosisOfNumericAtts": 2.9896868385198654, "NumberOfBinaryFeatures": 1, "Quartile1MutualInformation": null, "MeanMeansOfNumericAtts": -0.8624287868183763, "Quartile1SkewnessOfNumericAtts": -1.4093658272614835, "MeanMutualInformation": null, "Quartile1StdDevOfNumericAtts": 5.383252598711317, "AutoCorrelation": 0.9997516565636041, "MeanNoiseToSignalRatio": null, "Quartile2AttributeEntropy": null, "ClassEntropy": 0.9999981465894787, "MeanNominalAttDistinctValues": 2, "Quartile2KurtosisOfNumericAtts": 1.6237969858451264, "Dimensionality": 7.901747414999774e-5, "MeanSkewnessOfNumericAtts": -0.7596246653190875, "Quartile2MeansOfNumericAtts": -0.3648565669165071, "EquivalentNumberOfAtts": null, "MeanStdDevOfNumericAtts": 10.249285253822238, "Quartile2MutualInformation": null, "MajorityClassPercentage": 50.08014629520928, "MinAttributeEntropy": null, "Quartile2SkewnessOfNumericAtts": -0.33811881289034745, "MajorityClassSize": 44365, "MaxAttributeEntropy": null, "MinKurtosisOfNumericAtts": -0.194842151697729, "PercentageOfBinaryFeatures": 14.285714285714285, "Quartile2StdDevOfNumericAtts": 10.31470446488569, "MaxKurtosisOfNumericAtts": 9.487575015454146, "MinMeansOfNumericAtts": -3.4258644037567176, "PercentageOfInstancesWithMissingValues": 0, "Quartile3AttributeEntropy": null, "MaxMeansOfNumericAtts": 0.28564502754323484, "MinMutualInformation": null, "PercentageOfMissingValues": 0, "Quartile3KurtosisOfNumericAtts": 6.418243731993009, "MaxMutualInformation": null, "MinNominalAttDistinctValues": 2, "PercentageOfNumericFeatures": 85.71428571428571, "Quartile3MeansOfNumericAtts": 0.2823514144127899, "MaxNominalAttDistinctValues": 2, "MinSkewnessOfNumericAtts": -3.2003103594785585, "PercentageOfSymbolicFeatures": 14.285714285714285, "Quartile3MutualInformation": null, "MaxSkewnessOfNumericAtts": 0.09487862060045844, "MinStdDevOfNumericAtts": 4.631485834385136, "Quartile1AttributeEntropy": null, "Quartile3SkewnessOfNumericAtts": 0.05094892210016123, "MaxStdDevOfNumericAtts": 18.82137932844031, "MinorityClassPercentage": 49.91985370479072, "Quartile1KurtosisOfNumericAtts": -0.046714869299513406, "Quartile3StdDevOfNumericAtts": 13.540041764747496, "MeanAttributeEntropy": null, "MinorityClassSize": 44223, "Quartile1MeansOfNumericAtts": -2.045886416613981, "StdvNominalAttDistinctValues": 0 }, "tags": [ { "uploader": "5348", "tag": "concept_drift" }, { "uploader": "38960", "tag": "Healthcare" }, { "uploader": "2", "tag": "sport" }, { "uploader": "38960", "tag": "Sports" }, { "uploader": "2", "tag": "study_72" }, { "uploader": "2", "tag": "study_93" }, { "uploader": "38960", "tag": "Technology" }, { "uploader": "2", "tag": "time_series" }, { "uploader": "3952", "tag": "TUE" } ], "features": [ { "name": "activity", "index": "6", "type": "nominal", "distinct": "2", "missing": "0", "target": "1", "distr": [ [ "0", "1" ], [ [ "44223", "0" ], [ "0", "44365" ] ] ] }, { "name": "acceleration_x", "index": "0", "type": "numeric", "distinct": "30307", "missing": "0", "min": "-54", "max": "56", "mean": "-1", "stdev": "9" }, { "name": "acceleration_y", "index": "1", "type": "numeric", "distinct": "23957", "missing": "0", "min": "-33", "max": "27", "mean": "-3", "stdev": "6" }, { "name": "acceleration_z", "index": "2", "type": "numeric", "distinct": "19698", "missing": "0", "min": "-38", "max": "16", "mean": "-2", "stdev": "5" }, { "name": "gyro_x", "index": "3", "type": "numeric", "distinct": "40988", "missing": "0", "min": "-44", "max": "49", "mean": "0", "stdev": "12" }, { "name": "gyro_y", "index": "4", "type": "numeric", "distinct": "38957", "missing": "0", "min": "-75", "max": "85", "mean": "0", "stdev": "11" }, { "name": "gyro_z", "index": "5", "type": "numeric", "distinct": "51296", "missing": "0", "min": "-95", "max": "113", "mean": "0", "stdev": "19" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }