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Models Last Updated: Monday, 10:31 A model is a tree-like representation of your dataset with predictive power.In that case, be sure you perform each component two or three times a week. You can also paginate, filter, and order your statistical tests. You can get your list of statistical tests directly in your browser using your own username and API key with the following links. By default, only the 20 most recent statistical tests will be returned. To list all the statistical tests, you can use the statisticaltest base URL. However, if you try to delete a statistical test that is being used at the moment, then BigML. If you try to delete a statistical test a second time, or a statistical test that does not exist, you will receive a "404 not found" response. Once you delete a statistical test, it is permanently deleted.
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To update a statistical test, you need to PUT an object containing the fields that you want to update to the statistical test' s base URL. Thus when retrieving a statisticaltest, it's possible to specify that only a subset of fields be retrieved, by using any combination of the following parameters in the query string (unrecognized parameters are ignored): Fields Filter Parameters Parameter TypeDescription fields optional Comma-separated list A comma-separated list of field IDs to retrieve. Through the status field in the statistical test you can determine when the test has been fully processed and ready to be used to create predictions. The statistical test goes through a number of states until its fully completed. See Grubb's test for outliers for more information.Ĭreating statistical test is a process that can take just a few seconds or a few days depending on the size of the dataset used as input and on the workload of BigML's systems. Note that this test assumes that the data are normally distributed. If an outlier is found, also returns the value of the outlier. A significant result indicates that at least one outlier is present in the data. It computes a t-test based on the maximum deviation from the mean. The Grubb's Test for Outliers Result Object has the following properties.