bias variance trade off
My query is with respect to the classification models.
Is there any way to identify the soft spot where the bias and variance meet. I do understand there is no metric for bias variance trade off.
However Im interested in knowing how to approach the issue.
a. How to analyse and is related to confusion matrix / Precision/recall.
b. Any specific or set of operators in rapid miner to analyse.
c. Do you suggest any typical process to be followed to arrive the balance
authentically and quickly.
d. any resource/video on the topic.
thanks in advance for your reply.