Controlling for Unobserved Confounds in Classification Using Correlational Constraints
Table 2: Standard deviation as a measure of robustness. The smaller the standard deviation, the more robust the model. The most robust model is shown in bold for each F1z value.
['[BOLD] F1z', '[BOLD] No adjustment', '[BOLD] Corr. matching', '[ITALIC] ϵ [BOLD]  thresh.']
Similar to Figure Furthermore, when F1z decreases, the correlation adjustment using ϵ thresholding is performing worse than when we are not doing any correlation adjustment as well as it is less robust. Clearly, the ϵ thresholding method is more sensitive to the quality of the preliminary study than the other methods.