Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits

Zhuokai Zhao, Takumi Matsuzawa, William Irvine +2

Proper evaluations are crucial for better understanding, troubleshooting, interpreting model behaviors and further improving model performance. While using scalar-based error metri…