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To examine the impact of the number of features calculated on the system's response time and to determine the final system configuration based on accuracy and total response time, the system was tested with varying numbers of features.
The Mean Decrease in Impurity (MDI) feature selection method was used in the training dataset. After applying MDI, the contribution rates of the features were obtained and sorted in descending order.
After sorting the features in order of importance, the number of features used was selected from 4 to 576 in increments of 4.
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IEEE/ICACT20250190 Slide.27
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