Generalization error
bias
Deviation: The more complex the model, the smaller the deviation model, the smaller the variance, so there will be overfitting
variance
Variance: the simpler the model, the model fit general, the smaller the variance of the model, the larger the deviation, so there will underfitting
error
error=bias+variance