Bias-Variance Trade-off
Understand the bias-variance trade-off by exploring model complexity and its impact on prediction accuracy. Learn to balance underfitting and overfitting through polynomial regression techniques, improving your ability to create models that generalize well to unseen data.
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The following illustration is the plot on model complexity and bias-variance trade-off.
Observe the curves to predict morale. Using a linear approach, our assumptions put us somewhere on this plot’s left side. We have a high bias, a low variance, and an oversimplified model with very low complexity. We don’t want this and should always look for the optimal point.
Increasing complexity
If we use the true function to predict morale, it increases, decreases, and increases again, but we are just predicting the morale linearly with days (time). We need to increase the complexity of our model because ...