Pre-statistics of data for node of decision tree

An electronic device, comprising:

• a processing unit;
• and
• a memory coupled to the processing unit and storing instructions, which, when executed by the processing unit, perform data processing based on a decision tree, comprising actions:
• determining that a number of samples in a set of data samples for a node of the decision tree is below a first threshold number;
• selecting all data samples in the set of data samples as a plurality of data samples, the plurality of data samples having corresponding feature values with respect to a first feature;
• determining, from a plurality of numerical ranges, a target range, with a number of feature values falling into the target range being greater than a second threshold number;
• assigning the remaining of the feature values, other than the feature values falling into the target range, to the plurality of numerical ranges;
• and
• counting, based on the assignment of the remaining of the feature values, the feature values falling into the plurality of numerical ranges, for allocation of the plurality of data samples to child nodes of the node.

A computer program product stored in a non-transient computer storage medium and including machine executable instructions which, when running in a device, cause the device to perform data processing based on a decision tree, comprising actions:

• determining that a number of samples in a set of data samples for a node of the decision tree is below a first threshold number;
• selecting all data samples in the set of data samples as a plurality of data samples, the plurality of data samples having corresponding feature values with respect to a first feature;
• determining, from a plurality of numerical ranges, a target range, with a number of feature values falling into the target range being greater than a second threshold number;
• assigning the remaining of the feature values, other than the feature values falling into the target range, to the plurality of numerical ranges;
• and
• counting, based on the assignment of the remaining of the feature values, the feature values falling into the plurality of numerical ranges, for allocation of the plurality of data samples to child nodes of the node.