underfitting
An underfitting model is the one that does not fit well with the training data, i.e. significantly deviated from the ground truth
Underfitting failing to capture relevant patterns, again leading to less accurate predictions
Causes:
- the model is over-simplified for the data, therefore it is not capable to capture the hidden relationship within the data
Read also: underfitting-overfitting