Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: While extensive research in data mining has been devoted to developing better feature selection techniques, none of this research has examined the intrinsic relationship beten dataset characteristics and a feature selection technique’s performance. Thus, our research examines experimentally how dataset characteristics affect both the accuracy and the time complexity of feature selection. To evaluate the performance of various feature selection techniques on datasets of different characteristics, extensive experiments with five feature selection techniques, three types of classification algorithms, seven types of dataset characterization methods and all possible combinations of dataset characteristics are conducted on 128 publicly available datasets.  apply the decision tree method to evaluate the interdependencies beten dataset characteristics and performance. The results of the study reveal the intrinsic relationship beten dataset characteristics and feature selection techniques’ performance. Additionally, our study contributes to research in data mining by providing a roadmap for future research on feature selection and a significantly wider framework for comparative analysis.
['Dijana Oreski', 'Stjepan Oreski', 'Bozidar Klicek']
I am writing a research paper on a idea Effects of dataset characteristics on the performance of feature selection techniques
[{"from": "human", "value": "I am writing a research paper on a idea Effects of dataset characteristics on the performance of feature selection techniques"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: While extensive research in data mining has been devoted to developing better feature selection techniques, none of this research has examined the intrinsic relationship beten dataset characteristics and a feature selection technique\u2019s performance. Thus, our research examines experimentally how dataset characteristics affect both the accuracy and the time complexity of feature selection. To evaluate the performance of various feature selection techniques on datasets of different characteristics, extensive experiments with five feature selection techniques, three types of classification algorithms, seven types of dataset characterization methods and all possible combinations of dataset characteristics are conducted on 128 publicly available datasets.  apply the decision tree method to evaluate the interdependencies beten dataset characteristics and performance. The results of the study reveal the intrinsic relationship beten dataset characteristics and feature selection techniques\u2019 performance. Additionally, our study contributes to research in data mining by providing a roadmap for future research on feature selection and a significantly wider framework for comparative analysis."}]