We emphasize the importance of implicit assumptions made on the training set and applying the classifier on a record that violates such assumptions. We consider the case of a classifier that differentiates between anticancer drug approval and phase 2/3 rejection
We emphasize the importance of implicit assumptions made on the training set and applying the classifier on a record that violates such assumptions. We consider the case of a classifier that differentiates between anticancer drug approval and phase 2/3 rejection