![]() ![]() We have been asked to provide the raw state files for the SMAC runs on these datasets (Note that they are not using the same version of Auto-WEKA as in the KDD paper). See the manual provided with Auto-WEKA for more details on how to chain InstanceGenerators together. The datasets below may include statistics, graphs, maps, microdata, printed reports, and results in other forms. When running an Auto-WEKA wrapper, you can then use the following 10 lines as an instanceString: A dataset is the assembled result of one data collection operation (for example, the 2010 Census) as a whole or in major subsets (2010 Census Summary File 1). Lethbridge City population growth Aids mortality Taxes paid vs. Sources of the data are shown in the spreadsheets. Certain work must be done to resolve this infomation into proper functions from college algebra. To perform 10 fold cross-validation with a specific seed, you can use the following line for your instanceGeneratorArgs that you pass to the ExperimentConstructor: The examples linked to from this page contain data that is not quite perfect. To use these zip files with Auto-WEKA, you need to pass them to an InstanceGenerator that will split them up into different subsets to allow for processes like cross-validation. Each zip has two files, test.arff and train.arff in WEKA's native format. Available categories include: Administrative, Biomonitoring, Child Vaccinations, Flu Vaccinations, Health Statistics, Injury & Violence, Motor Vehicle, NCHS, NNDSS, Pregnancy & Vaccination, STDs, Smoking & Tobacco Use, Teen Vaccinations, Traumatic Brain Injury. Auto-WEKA : Sample Datasets Auto-WEKA : Sample Datasetsīelow are some sample datasets that have been used with Auto-WEKA. is a repository of all available data sets with a Socrata Open Data API. ![]()
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