A feature selection algorithm of decision tree based on feature weight

In order to improve the classification accuracy, a preprocessing step is used to pre-filter some redundant or irrelevant features before decision tree construction. And a new feature selection algorithm FWDT is proposed based on this. Experimental results show that FWDT our proposed method performs better for the measures of accuracy, recall and F1-score. Furthermore, it can reduce the required time in constructing the decision tree.