Method and system for parameter optimization of machine learning algorithm

The invention provides a method and system for parameter optimization of a machine learning algorithm. The method comprises the steps: (A), determining the machine learning algorithm for training a machine learning model; (B), providing a graphical interface for a user to set a parameter adjustment configuration item of the machine learning algorithm, wherein the parameter adjustment configurationitem is used for limiting how to generate multiple groups of candidate algorithm parameter values; (C), receiving an input operation of a user for setting the parameter adjustment configuration itemon the graphical interface, and obtaining the parameter adjustment configuration item set by the user according to the input operation; (D), generating multiple groups of candidate algorithm parametervalues based on the obtained parameter adjustment configuration item; (E), training a machine learning model corresponding to each group of candidate algorithm parameter values under each group of candidate algorithm parameter