Significance Tests of Feature Relevance for a Black-Box Learner

Computer Science

• Deep Neural Network 100%
• Computational Complexity 100%
• Scientific Field 100%
• Deep Learning Model 100%
• Decision-Making 100%
• Neural Network 100%
• Parameter Estimate 100%
• Significance Test 100%
• Limiting Distribution 100%
• Python 100%

Keyphrases

• Black Box 100%
• Feature Relevance 100%
• Split Test 75%
• Sample Splitting 50%
• Process-based 25%
• Outcome Prediction 25%
• Neural Network 25%
• Deep Neural Network 25%
• Decision-making Process 25%
• Deep Learning Model 25%
• Value-based 25%
• Computational Complexity 25%
• Parameter Estimation 25%
• Type II Error 25%
• Test Statistic 25%
• Black-box Model 25%
• Parameter Distribution 25%
• Limiting Distribution 25%
• Significance Testing 25%
• Black-box Testing 25%
• Repeated Sampling 25%
• Data Perturbation 25%
• Complex Type 25%
• Asymptotic null Distribution 25%
• Python Library 25%
• Combined Version 25%

Mathematics

• Significance Test 100%
• Black Box 100%
• Asymptotics 16%
• Test Statistic 16%
• Limiting Distribution 16%
• Type II error 16%
• Null 16%
• Deep Neural Network 16%
• Parameter Estimate 16%
• Neural Network 16%
• Deep Learning Method 16%