The order of using or not using the portal's visualization features (i.e., treatment vs. control) was assigned randomly to each participant to remove any bias on the results due to learning effect.
Then, in both of those groups, unconscious bias is being removed from the learning cycle.
In classic algorithm recommendation, the bias depends on the available learning algorithm chosen and is not modified dynamically.
The results show that they can attend to both transitional and positional cues and that their sequential coding strategies can be biased toward transitional cues depending on the learning context.
This bias was more pronounced on difficult questions, and it appeared to account for 5% of the learning gains observed between the first and second vote.
In order to show the importance of feature selection, we have also performed the following series experiments on the kNN learning machine to reduce the bias caused by learning machines.
The policy prohibits bias on the basis of sexual orientation.
It wasn't just because of bias on the left or bias in the media".
But the bias on the CCRB comes from both sides.
This tool assesses risk of bias on the following domains: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other bias [ 21].
