High Bias Problem

Hello Chiang,

Here are some of the pointers I learnt through MLS course. Probably it might help you

In the below image :point_down: , baseline performance depends on the analysis and it can be human level performance, or performance of other well-established models, if your model’s training error is much higher, then this is a sign that the model has high bias (has underfit).

Hope now you have a better understanding. So probably because your batch size is shallow, check into additional features and reduce your learning rate.

Regards
DP

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