Unfazed❗️🎯

Bias(편향) : Gap between the real problem and our model / The expected error created by using a model to apporoximate a real world function/relationship. 모델을 통해 얻은 예측값과 실제 정답과의 차이의 평균 f hat(x) : predicted value f(x) : true value Bias[^f(x)]=E[^f(x)−f(x)] Variance(분산) : change for different training data sets / The amount our predicted values would change if we had a differenct training dataset. It..