An interpretable machine learning methodology to generate interaction effect hypotheses from complex datasets

Computer Science

• Interpretable Machine Learning 100%
• Interaction Effect 100%
• Machine Learning Model 100%
• Data Generation Process 33%
• Decision-Making 16%
• Machine Learning Algorithm 16%
• Underlying Data 16%
• Model Complexity 16%

Mathematics

• Interaction Effect 100%
• Black Box 50%

Keyphrases

• Data Generation Method 33%
• Inner Workings 16%
• Dataset Noise 16%