The wizard will split your data in the mining structure into a training set and a testing set. By default, the data mining engine will use the training set to train the mining models, and the testing set to test the accuracy of the models. Use the options on this page to specify how much of the input data should be held out for testing. If you set both options, the wizard will use both limits. For example, if the 'Maximum number of rows' is less than the 'Percentage of data for testing', then the 'Maximum number of rows' will be used for testing. If you set the 'Maximum number of rows' to 0, this limit will not be used. The partitions created by this wizard are random, which helps to ensure representative training and testing sets. Because the partitions are created in your mining structure, your source data is not affected.
The wizard has detected the '{0}' account dimension, which contains semiadditive members. The server will aggregate members ...
The wizard was either unable to find a dimension of type Accounts or the account dimension does not contain an AccountType ...
The wizard will create an attribute for most columns in the dimension tables and attempt to build hierarchies that have multiple ...
The wizard will deploy {0} to the following Analysis Server and database. If the database does not exist, it will be created ...
The wizard will split your data in the mining structure into a training set and a testing set. By default, the data mining ...
The word breakers and filters were significantly changed in SQL Server 2005. In SQL Server 2008, additional improvements ...
The writeback operation cannot be performed because the cartridge for the data source does not support the LinkChildrenToParent ...
The writeback table format has changed, a new '{1}' table will be used instead of '{0}'. Any data will need to be transferred. ...
The WRITETEXT statement is not allowed because the column is being replicated with Data Transformation Services (DTS) or ...