Split data randomly splits the selected data into two sets, a training set and a testing set, based on a ratio you provide. The training set is used to create a mining model using the Data Modeling tools. After the model is created, the testing set is used to test the model using the Accuracy and Validation tools. Each set is created in a new work sheet.
Specifying a semi-colon as a batch separator may cause unexpected results because it is a statement terminator. To continue, ...
Specifying HOLDLOCK as a table hint without parentheses is a deprecated feature and will be removed in the next version of ...
Specifying WITH ROWS in CREATE STATISTICS statements is not supported when you run SQL Server 2008 set to the compatibility ...
SPID %1!s!: transaction rollback in progress. Estimated rollback completion: %2!s!%. Estimated time remaining: %3!s! seconds. ...
Split data randomly splits the selected data into two sets, a training set and a testing set, based on a ratio you provide. ...
Split large partitions, with more than {0} million rows or that are over {1} MB in size, into smaller partitions to improve ...
sp_addmergelogsettings failed to add log settings. If log settings already exist for this subscription then use sp_changemergelogsettings ...
sp_addtype cannot be used to define user-defined data types for varchar(max), nvarchar(max) or varbinary(max) data types. ...
sp_cursoropen/sp_cursorprepare: The statement parameter can only be a batch or a stored procedure with a single select, without ...