diff --git a/modules/ml/include/opencv2/ml.hpp b/modules/ml/include/opencv2/ml.hpp
index 666710bad1..29e4685d15 100644
--- a/modules/ml/include/opencv2/ml.hpp
+++ b/modules/ml/include/opencv2/ml.hpp
@@ -1554,10 +1554,8 @@ Note that the parameters margin regularization, initial step size, and step decr
 
 To use SVMSGD algorithm do as follows:
 
-- first, create the SVMSGD object.
-
-- then set parameters  (model type, margin type, margin regularization, initial step size, step decreasing power) using the functions
-  setSvmsgdType(), setMarginType(), setMarginRegularization(), setInitialStepSize(), and setStepDecreasingPower(), or the function setOptimalParameters().
+- first, create the SVMSGD object. The algoorithm will set optimal parameters by default, but you can set your own parameters via functions setSvmsgdType(),
+  setMarginType(), setMarginRegularization(), setInitialStepSize(), and setStepDecreasingPower().
 
 - then the SVM model can be trained using the train features and the correspondent labels by the method train().