Let's Run Jinyeah

Variance & Bias Bias - the difference between the average prediction of model and the correct value(center of Target) Variance - variability of model prediction(예측값들의 분산된 정도) Underfitting model? usually have high bias and low wariance happens when have very less data or try to build a linear model with a nonliner data Overfitting model? usually have low bias and high variance happens when our mo..