LibSVM - Probability Estimation - Meaning of the Parameters
Hi,
LibSVM provides within RapidMiner the output of the probability based on Platt scaling (https://rapid-i.com/wiki/index.php?title=Support_Vector_Machine_(LibSVM)). I don't understand the meaning of the documented parameters and the resulting confidence values:
1) Does "calculate confidences" = TRUE indicate, that the confidence values are the probability estimations?
2) What is the definition of the confidence value, if "calculate confidences" = FALSE?
3) In a multiclass case how does "confidence for multiclass" = TRUE and how does "confidence for multiclass" = FALSE behave (also in the combination with "calculate confidences" = TRUE or FALSE)?
In order to use RapidMiner and the output, I need a clear understanding of the parameters, confidence values and dependencies to the RapidMiner operators.
I would be pleased, if you would help me with these issues!
Best regards,
Mark
LibSVM provides within RapidMiner the output of the probability based on Platt scaling (https://rapid-i.com/wiki/index.php?title=Support_Vector_Machine_(LibSVM)). I don't understand the meaning of the documented parameters and the resulting confidence values:
1) Does "calculate confidences" = TRUE indicate, that the confidence values are the probability estimations?
2) What is the definition of the confidence value, if "calculate confidences" = FALSE?
3) In a multiclass case how does "confidence for multiclass" = TRUE and how does "confidence for multiclass" = FALSE behave (also in the combination with "calculate confidences" = TRUE or FALSE)?
In order to use RapidMiner and the output, I need a clear understanding of the parameters, confidence values and dependencies to the RapidMiner operators.
I would be pleased, if you would help me with these issues!
Best regards,
Mark