Algorithm

Linguistics

Incremental decision tree

Philosophy

Minimum redundancy feature selection

Precision and recall

Selection (genetic algorithm)

Data mining

Computer science

Filter (signal processing)

Pattern recognition (psychology)

Mathematics

Decision tree learning

Data pre-processing

Feature selection

Feature (linguistics)

Mathematical analysis

ID3 algorithm

Artificial intelligence

Decision tree

Tree (set theory)

Machine learning

Computer vision

Preprocessor

Expert Systems with Applications

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.

A feature selection algorithm of decision tree based on feature weight