# Classification Classifies input data based on a trained machine learning model.
Path to model[Text] Path to the model file. The model must be created using the "Train Classification Model" block.
Data[Data Table] Input data. The columns in the table must match the columns on which the model was trained.
Target column name

[Text] The name of the column for recording the result. If the column is not present in the input data to the block, it will be added.

For example, "PredictedLabel".

Result[Data Table] Classification result.
Error handling level

Select the error handling level. Possible values:

  • "Default" - default;
  • "Ignore" - errors are ignored;
  • "Handle" - errors are handled.

If "Default" is selected, the value from the "Start" block of this diagram will be used.

Message level

Select the message level that blocks will output during operation. Possible values:

  • "Default" - default;
  • "Release" - output is disabled;
  • "Debug" - main information output;
  • "Detailed" - detailed information output.

If "Default" is selected, the value from the "Start" block of this diagram will be used.

Error message[Text] Returns detailed information about the error in case of incorrect execution of the block's work.
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