# Model Training for Classification Creates a new machine learning model for classification, trains it based on input data, and saves the final model to a file.
Training Data[Text] Path to the CSV file containing the training data. The file must contain valid headers. The file must be in UTF8 format.
Main Column Number[Number] The number of the column containing the class. Indexing starts at zero.
Data Column Numbers[Text] The numbers of the columns containing the data. Comma-separated. Indexing starts at zero. For example, "1,3".
String Column Numbers[Text] The numbers of the columns containing text data. Comma-separated. If this value is left empty, the column type will be recognized automatically. Indexing starts at zero. For example, "1,3".
Delimiter[Text] The delimiter for CSV columns.
Algorithm TypeSelect the type of algorithm.
Model Path[Text] Path to save the model file.
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.
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