Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles

Keyphrases

• Artificial Intelligence Algorithm 16%
• Attachment Style 100%
• Attachment Tendencies 16%
• Classification Accuracy 16%
• Comparative Analysis 100%
• ECR-RS 16%
• EEG Data 16%
• EEG Features 100%
• Engineering Students 16%
• Failure Feedback 16%
• Feature Selection 16%
• Flanker Task 16%
• Insecure Attachment 66%
• Multiple Metrics 16%
• Predictive Ability 16%
• Psychological Assessment 16%
• Rocket 100%
• Superior Performance 16%
• True Positive Rate 50%
• Visual Representation 16%
• Xgboost Machine Learning Algorithm 16%

Computer Science

• Artificial Intelligence 66%
• Classification Accuracy 33%
• Comparative Analysis 100%
• Engineering Student 33%
• Extreme Gradient Boosting 33%
• Feature Extraction 33%
• Feature Selection 33%
• Insecure Attachment 100%
• Machine Learning Algorithm 33%
• Scientific Literature 33%
• Secure Attachment 33%
• Superior Performance 33%
• True Positive Rate 100%
• Visual Representation 33%