Classify Table Article For Free

Goto OMS2, Select the material type & click on details. Check for the material type Classification view is selected or not. Select it if not selected. Goto MM01, create the material master selecting the Classification view & maintain the class maintained & the Characteristic Values.

Classification table. The classification table is another method to evaluate the predictive accuracy of the logistic regression model. In this table the observed values for the dependent outcome and the predicted values (at a user defined cut-off value, for example p=0.50) are cross-classified.

A Classification Table (aka a Confusion Matrix) describes the predicted number of successes compared with the number of successes actually observed. Similarly, it compares the predicted number of failures with the number actually observed.

Create Classification Tables Right-click the fact table column in the Target View and select Create Classification. The Create Classification dialog displays. Enter a name for the classification table and click OK. The table name must be unique (it cannot be the same as any existing tables in the source database).

A Classification Table (aka a Confusion Matrix) describes the predicted number of successes compared with the number of successes actually observed. Similarly, it compares the predicted number of failures with the number actually observed.

Classification table. The classification table shows the practical results of using the multinomial logistic regression model. For each case, the predicted response category is chosen by selecting the category with the highest model-predicted probability. Cells on the diagonal are correct predictions.

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