A survey on Neyman-Pearson classification and suggestions for future research

Computer Science

• Machine Learning 100%
• Binary Classification 100%
• Classification Method 50%
• World Application 50%
• Classification Problem 50%
• Fraud Detection 50%
• spam filter 50%
• Learning Community 50%
• Classification (Machine Learning) 50%

Keyphrases

• Neyman-Pearson Classification 100%
• Neyman-Pearson Paradigm 66%
• Email Spam Detection 33%