Question

When the hypothesis space is richer, over fitting is more likely.
a) true
b) false

Answer 1

When the hypothesis space is richer, overfitting is more likely.

Step-by-step explanation:

True. When the hypothesis space is richer, overfitting is more likely.

Overfitting occurs when a model is too complex and fits the training data too closely, resulting in poor generalization to new, unseen data. A rich hypothesis space refers to a large set of possible models that can be used to represent a problem. When the hypothesis space is richer, there is a higher chance of finding a complex model that fits the training data well but fails to generalize to new data, leading to overfitting. This can happen because a larger hypothesis space allows for more complex models that can potentially fit noise in the training data rather than the underlying patterns.