Overfitting, Underfitting, Bias Variance Tradeoff, Bias, Variance.
score will be very low. Similarly, if an ML model is over-fitting, it is learning the training data, not finding the patterns in the data. That’s not ideal because the model will not perform well on future data Approach 2: You decide to ignore the sample questions. On the day of exam, whether the